26 AI Engineering jobs in Australia
Azure AI Infrastructure Solution Engineering APAC
Sydney, New South Wales
Microsoft Corporation
Posted 11 days ago
Job Viewed
Job Description
The Apps and AI CSA team acts as trusted advisors and subject matter experts with core capability and expertise across Applications and AI with additional depth in Data Modernization, Analytics and AI. We work with customers to leverage data to help them achieve their business priorities and help guide customers' journey through Applications and AI-led Azure Data transformation. We also support customers in evaluating their applications and business requirements, recommend solutions that meet their requirements, and demonstrate these solutions to win the technical decision.
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
0
Azure AI Infrastructure Solution Engineering APAC
Brisbane, Queensland
Microsoft Corporation
Posted 11 days ago
Job Viewed
Job Description
The Apps and AI CSA team acts as trusted advisors and subject matter experts with core capability and expertise across Applications and AI with additional depth in Data Modernization, Analytics and AI. We work with customers to leverage data to help them achieve their business priorities and help guide customers' journey through Applications and AI-led Azure Data transformation. We also support customers in evaluating their applications and business requirements, recommend solutions that meet their requirements, and demonstrate these solutions to win the technical decision.
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
1
Azure AI Infrastructure Solution Engineering APAC
Canberra, Australian Capital Territory
Microsoft Corporation
Posted 11 days ago
Job Viewed
Job Description
The Apps and AI CSA team acts as trusted advisors and subject matter experts with core capability and expertise across Applications and AI with additional depth in Data Modernization, Analytics and AI. We work with customers to leverage data to help them achieve their business priorities and help guide customers' journey through Applications and AI-led Azure Data transformation. We also support customers in evaluating their applications and business requirements, recommend solutions that meet their requirements, and demonstrate these solutions to win the technical decision.
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
2
Azure AI Infrastructure Solution Engineering APAC
Melbourne, Victoria
Microsoft Corporation
Posted 11 days ago
Job Viewed
Job Description
The Apps and AI CSA team acts as trusted advisors and subject matter experts with core capability and expertise across Applications and AI with additional depth in Data Modernization, Analytics and AI. We work with customers to leverage data to help them achieve their business priorities and help guide customers' journey through Applications and AI-led Azure Data transformation. We also support customers in evaluating their applications and business requirements, recommend solutions that meet their requirements, and demonstrate these solutions to win the technical decision.
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
3
Azure AI Infrastructure Solution Engineering APAC
Adelaide, South Australia
Microsoft Corporation
Posted 11 days ago
Job Viewed
Job Description
The Apps and AI CSA team acts as trusted advisors and subject matter experts with core capability and expertise across Applications and AI with additional depth in Data Modernization, Analytics and AI. We work with customers to leverage data to help them achieve their business priorities and help guide customers' journey through Applications and AI-led Azure Data transformation. We also support customers in evaluating their applications and business requirements, recommend solutions that meet their requirements, and demonstrate these solutions to win the technical decision.
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
4
Azure AI Infrastructure Solution Engineering APAC
Perth, Western Australia
Microsoft Corporation
Posted 11 days ago
Job Viewed
Job Description
The Apps and AI CSA team acts as trusted advisors and subject matter experts with core capability and expertise across Applications and AI with additional depth in Data Modernization, Analytics and AI. We work with customers to leverage data to help them achieve their business priorities and help guide customers' journey through Applications and AI-led Azure Data transformation. We also support customers in evaluating their applications and business requirements, recommend solutions that meet their requirements, and demonstrate these solutions to win the technical decision.
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
The Azure AI Infrastructure Solution Engineering APAC Lead is a leader within our enterprise sales organization, and you will be responsible for region-wide coordination of driving technical solutions to win over the technical decision maker in the Business and IT department of both our Enterprise and Digital Native Customers leveraging AI Infrastructure solutions. You and your team will drive technical decisions for the customer that helps them achieve Business value with the Microsoft Platform, and thereby secure long-term sustainable growth for Microsoft. As the Solution Engineer lead, you will play a key part in coordinating the team response across APAC and the broader Azure all-up team to help customers embrace and succeed through digital transformation with AI Infrastructure solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Regional Team Facilitator: You will deliver success by ensuring that a diverse and high-performing technology specialists' team helps APAC customers make sound technical decisions and maximize the adoption and value of Microsoft solutions.
+ Scale Customer Engagements: You will influence customer decisions and ensure technical wins by streamlining processes and managing the flow of wins, leveraging deep knowledge of processes, aligning goals across solution areas and facilitate cross-selling with various workloads (e.g., AI, Apps, Data & Analytics and Infrastructure).
+ Your practical experience will increase deal velocity by assessing the progress of technical engagements at every stage, and by orchestrating a cross-region response of other Microsoft technical resources and Partners on digital transformation deals.
+ Scale Through Partners: You will maximize area-level capacity and capabilities of scaling through partners by coaching account teams to grow partner network, identifying gaps and promoting Microsoft within the Microsoft ecosystem. You will raise escalations or alleviate blockers through collaboration with counterparts in cross-functional groups.
+ Build Strategy: You will help define compete strategy and provide support to internal teams and work with local marketing teams to shape corporate domain messages.
+ Solution Design and Proof: You will facilitate and guide customers through digital transformation solutions across Data, Analytics, and AI solutions and applying advanced sales methodologies, while envisioning new and innovative solutions that use Microsoft technology to meet customer needs and identifying new technical and business trends/needs serving as the voice of the customer (VOC) to Microsoft.
+ Education: You will enable and empower others to develop technical expertise and act as a technical thought leader by sharing best practices.
+ Exemplify a learning culture that fosters the development of deep skills in AI, Data & Analytics technologies, architectural knowledge of the Microsoft Cloud and in the Microsoft enterprise story.
**Qualifications**
**Required**
+ Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical customer engagement experience.
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical pre-sales or technical consulting experience.
+ OR equivalent experience.
+ 3+ years AI Infrastructure Sales and/or Solutions experience.
**Preferred**
+ 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience.
+ OR equivalent experience.
+ 5+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 5+ years of direct work experience with AI Infrastructure and AI workflows. (GPU host/server, networking, storage, & job/container orchestration.)
+ 3+ years project leader experience (including leading virtual teams).
**Optional**
**Professional**
+ Executive Presence. Leadership and confidence required to challenge customer status quo. Demonstrated experience and expertise selling to senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.
+ Collaborative. Ability to orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence. Develop and execute a regional success plan in partnership with account teams and national GTM leads to support pre-sales opportunities and engage solution partners assigned to accounts.
+ Coaching. Training extended v-team in engagement management and capturing VOC for the product engineering feedback loop.
+ Trusted advisor. Deep understanding of key competitive technologies and/or specific industries. The ability to articulate the advantages of Microsoft technologies to C-Level and senior business decision makers. Execute a solution sales process that adds value to customers through commercial teaching to win the business and establish yourself as a trusted advisor.
**Technical**
+ Technical passion. Passion for and experience with AI infrastructure, supercomputing, and operating clusters at scale. preferred.
+ Common benchmarking standards (E.g., MLPerf) and their significance.
+ AI Frameworks, APIs, and computing/networking IP standards. (E.g., PyTorch, TensorFlow, NCCL, CUDA, ROCm, ONNX, MPI, NVLink, etc.)
+ Platforms and architectures for scale-up and scale out training and inferencing workloads - inclusive of topology-aware job and container orchestration.
+ Understanding of cutting-edge AI Development methodologies and practices (E.g., Mixture-of-Experts, etc.) preferred.
+ Understanding day-to-day operational requirements and best practices of supercomputing-scale GPU-based supercomputing systems. (E.g., Dashboarding/observability, planned maintenance, etc.) preferred.
+ Competitive landscape. Knowledge of both established cloud platforms and newer GPU-focused bare metal AI clouds. preferred.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
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5
Machine Learning Scientist, International Machine Learning
Melbourne, Victoria
Amazon
Posted 11 days ago
Job Viewed
Job Description
Description
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy solutions that directly benefit millions of Amazon customers worldwide. Whether you are exploring the frontiers of generative AI, developing next-generation recommender systems, or optimizing agentic workflows, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
* You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
* In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
* You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
Key job responsibilities
- You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
- In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
- You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
About the team
Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields
- Experience with programming languages such as Python, Java, C+- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience researching, developing and implementing deep learning algorithms
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
- Strong publication record in top-tier peer-reviewed machine learning, natural language processing, or information retrieval conferences, e.g., NeurIPS, ICML, ICLR, ACL, KDD, AISTATS
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy solutions that directly benefit millions of Amazon customers worldwide. Whether you are exploring the frontiers of generative AI, developing next-generation recommender systems, or optimizing agentic workflows, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
* You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
* In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
* You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
Key job responsibilities
- You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
- In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
- You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
About the team
Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields
- Experience with programming languages such as Python, Java, C+- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience researching, developing and implementing deep learning algorithms
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
- Strong publication record in top-tier peer-reviewed machine learning, natural language processing, or information retrieval conferences, e.g., NeurIPS, ICML, ICLR, ACL, KDD, AISTATS
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
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Senior machine learning engineer
Adelaide, South Australia
Rheinmetall
Posted 9 days ago
Job Viewed
Job Description
What We Are Looking For
About the Team
This position will be a key member of the Electronics Solutions team located in Edinburgh, SA which provides engineering services for the design and build of systems to manage large quantities of imagery, and apply deep learning through convolutional neural networks and other machine learning models to augment imagery analysis.
About The Role
Under the supervision of the Technical Lead, undertake Machine Learning design and development activities as part of the larger engineering project team. You will be working with Researchers and Data Engineers at DST, this role includes utilising and adapting open-source machine learning libraries to assist with automation of computer vision tasks for Analysts.
What Qualifications You Should Have
What are we looking for?
Rheinmetall seeks applicants who exemplify our Company’s values of Safety, Partnering, Openness, Respect and Trust (SPORT) . This creates a workplace environment where employees value each other, live up to their promises and communicate openly.
The experience and skillset best suited to this role includes:
- Experience in development of Machine Learning systems;
- Knowledge in Machine Learning and/or AI;
- Good understanding of best practice DevOps;
- Experience with the software development lifecycle (CI/CD process);
- Knowledge in software environments such as C++, Python, JAVA, JavaScript. RestFul interfaces, Docker;
- Imagery Analysis experience;
- Knowledge in Object Orientated design methodologies and SQL;
- Exposure to developing applications using Linux OS and API’s;
- Ability to travel internationally and interstate, when required; and
- A NV1 Australian Government Security Clearance (Australian Citizenship required).
- Long weekends every second week with a 9 day fortnight;
- Individualised Flexible Working Arrangements;
- Access to exclusive employee discounts with over 500 retailers to support cost of living;
- Market leading parental leave and loyalty leave accrual for every year of service;
- We are proud to be an Endorsed Employer for All Women with WORK180.
RDA Talent Acquisition Team
Applications will close on 15th of November 2025.
This advertiser has chosen not to accept applicants from your region.
7
2026 Applied Science Intern (Machine Learning, Recommender Systems), International Machine Learning
Melbourne, Victoria
Amazon
Posted 10 days ago
Job Viewed
Job Description
Description
Are you excited about leveraging state-of-the-art Deep Learning, Recommender Systems, Information Retrieval, Natural Language Processing algorithms on large datasets to solve real-world problems?
As an Applied Scientist Intern, you will based in Amazon's Melbourne office working in a fast-paced, cross-disciplinary team of experienced R&D scientists. You will take on complex problems, work on solutions that leverage existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even deliver these to production in customer facing products.
Please note: This internship is a duration of 6 months full time with a start date in Jan-March 2026.
The successful intern is required to be based in Melbourne and relocation allowance will be provided if you are based outside of Melbourne.
Key job responsibilities
- Develop novel solutions and build prototypes
- Work on complex problems in Machine Learning and Information Retrieval
- Contribute to research that could significantly impact Amazon operations
- Collaborate with a diverse team of experts in a fast-paced environment
- Collaborate with scientists on writing and submitting papers to top conferences, e.g. NeurIPS, ICML, KDD, SIGIR
- Present your research findings to both technical and non-technical audiences
Key Opportunities:
- Work in a team of ML scientists to solve recommender systems problems at the scale of Amazon
- Access to Amazon services and hardware
- Become a disruptor, innovator, and problem solver in the field of information retrieval and recommender systems
- Potentially deliver solutions to production in customer-facing applications
- Opportunities to be hired full-time after the internship
Join us in shaping the future of AI at Amazon. Apply now and turn your research into real-world solutions!
Basic Qualifications
- Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Information Retrieval, Recommender Systems, or Machine Learning
- Strong programming skills, e.g. Python and DL frameworks
Preferred Qualifications
- Research experience in Deep Learning, Recommender Systems, Information Retrieval, or broader Machine Learning.
- Publications in top-tier conferences, e.g. NeurIPS, ICML, ICLR, KDD, SIGIR, RecSys
- Experience with handling large datasets and distributed computing, e.g. Spark
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Are you excited about leveraging state-of-the-art Deep Learning, Recommender Systems, Information Retrieval, Natural Language Processing algorithms on large datasets to solve real-world problems?
As an Applied Scientist Intern, you will based in Amazon's Melbourne office working in a fast-paced, cross-disciplinary team of experienced R&D scientists. You will take on complex problems, work on solutions that leverage existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even deliver these to production in customer facing products.
Please note: This internship is a duration of 6 months full time with a start date in Jan-March 2026.
The successful intern is required to be based in Melbourne and relocation allowance will be provided if you are based outside of Melbourne.
Key job responsibilities
- Develop novel solutions and build prototypes
- Work on complex problems in Machine Learning and Information Retrieval
- Contribute to research that could significantly impact Amazon operations
- Collaborate with a diverse team of experts in a fast-paced environment
- Collaborate with scientists on writing and submitting papers to top conferences, e.g. NeurIPS, ICML, KDD, SIGIR
- Present your research findings to both technical and non-technical audiences
Key Opportunities:
- Work in a team of ML scientists to solve recommender systems problems at the scale of Amazon
- Access to Amazon services and hardware
- Become a disruptor, innovator, and problem solver in the field of information retrieval and recommender systems
- Potentially deliver solutions to production in customer-facing applications
- Opportunities to be hired full-time after the internship
Join us in shaping the future of AI at Amazon. Apply now and turn your research into real-world solutions!
Basic Qualifications
- Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Information Retrieval, Recommender Systems, or Machine Learning
- Strong programming skills, e.g. Python and DL frameworks
Preferred Qualifications
- Research experience in Deep Learning, Recommender Systems, Information Retrieval, or broader Machine Learning.
- Publications in top-tier conferences, e.g. NeurIPS, ICML, ICLR, KDD, SIGIR, RecSys
- Experience with handling large datasets and distributed computing, e.g. Spark
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
8
University biology and machine learning
3083 Bundoora, Victoria
La Trobe University
Posted 20 days ago
Job Viewed
Job Description
- Position to be based at La Trobe Melbourne Campus.
- An amount of $40,000 per annum for 3.5 years, fee relief additional, fortnightly stipend.
This prestigious La Trobe University scholarship, in partnership with the Australian Office of National Intelligence, will be awarded to an outstanding applicant interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning.
The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine learning workflows will lead to rapid precision diagnoses and effective individualized cancer care plans. Coding and user interface development skills will be developed.
This scholarship is open only to Australian citizens, Australian permanent residents, or New Zealand special category visa holders. The Expression of Interest will remain open until the positions are filled.
Benefits Of The Scholarship Include
- a stipend scholarship for three and a half years, with a value of $40,000 per annum (pro-rata), to support your living costs.
- a fee-relief scholarship for up to four years.
- opportunities to work with La Trobe’s outstanding researchers in state-of-the-art laboratories and have access to our suite of professional development programs.
- a collaborative project, including time spent with the Olivia Newton-John Cancer Research Institute and CSIRO.
- opportunities to travel to conferences in Australia and overseas.
To be eligible to apply for this scholarship, applicants must:
- be Australian citizens, Australian permanent residents, or New Zealand special category visa holders (strict requirement).
- meet the entrance requirements for the Doctor of Philosophy.
- should they be selected, agree to be enrolled full-time and undertaking their research at the La Trobe University Melbourne (Bundoora) campus.
- have an outstanding record of prior performance.
- have completed a Masters by Research or other significant body of research, such as an honours research thesis or lead authorship of a peer-reviewed publication, assessed at a La Trobe Masters by research standard of 75 or above.
- have outstanding grounding in one or more relevant disciplines including cancer biology, cancer medicine, physics, chemistry, , engineering, machine learning / data science, coding.
This is an Expression of Interest process. To express your interest in applying, candidates must supply the following information via email to :
- current academic transcript including Masters / Honours grades (or note completion date).
- a statement outlining:
- their motivation and suitability for this opportunity;
- their specific skills and experience and how these are relevant to the PhD project;
- how this opportunity fits with their career plans.
- a statement confirming that you are currently an Australian citizen, Australian permanent resident, or New Zealand special category visa holder.
The successful applicant will be required to have a working with children check (WWCC) prior to commencing the position, to be paid for by the applicant.
The University will carefully review and consider your expression of interest for this scholarship. Successful candidates will be invited to submit a full application for candidature and scholarship.
See Also
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Who To Contact For Further Information
Professor Paul Pigram,
Closing date for applications: Indefinite
Scholarship code: SRS-25030
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