10 Data Science jobs in Australia
Senior Product Manager - Data Science Assets
Pearson
Posted today
Job Viewed
Job Description
Senior Product Manager - Data Science Assets, Workforce Solutions
**About Pearson**
As the world's largest (listed on both London and NY stock exchange) learning company, Pearson has been contributing a profound impact on our world since its formation in 1844. Pearson employs more than 20,000, operates in 70 countries and delivers products and services in nearly 200 countries. We work toward a common purpose - helping people realize the life they imagine through learning. We do that by developing and providing high-quality, digital content and learning experiences, as well as assessments and qualifications, that help people build their skills and grow with the world around them. Unveil the boundless possibilities that await you. Learn more at pearsonplc.com.
**About Enterprise Learning & Skills**
Pearson's newly established Enterprise, Learning & Skills division is mandated to help enterprises drive productivity and growth by transforming how they evaluate, assess, and reskill their workforce, as well as delivering world-class vocational training and qualifications. The global talent market has never been more important than it is today, and Workforce Solutions, a key hub within the new ELS division, is well positioned to meet the needs of employers and employees who want to build a leading edge in the age of AI and a rapidly changing economy. Our offerings help employers understand labor market dynamics, how future proof their workforces at scale, and helping workers gain the skills they need to boost their employability and create new career prospects.
**About the Role**
The Senior Product Manager for our Data Science Assets will lead the delivery of our core data science and exploratory tools, ensuring that our unique IP and insights are approachable and actionable for our clients, enabling them to drive meaningful change and unlock new opportunities for their businesses.
To do this, you'll work across our Data Science & AI, Product and Engineering squads to ensure our teams are prioritizing and delivering innovative solutions to real-world customer problems. You'll be responsible for the delivery of our Data Science roadmap into production, identifying and mitigating risks, post-launch monitoring, and ensuring that our teams are releasing quality data.
While most of the team is based in Sydney, this role can be a remote AU position with the availability to flex across multiple time zones, as stakeholders' locations range from Australia, US, and the UK. As an organization with a global customer and employee footprint, some domestic and international travel may be required.
**Key Responsibilities:**
+ Develop and execute product strategies that align with the Workforce Solution business unit's vision and the broader ELS business objectives
+ Define our Data science product roadmap and technical requirements and help our data science team prioritize features based on customer feedback, market demand, and business goals.
+ Collaborate closely with Data Scientists and Engineers to define requirements, prioritize features, data pipeline improvements, testing, and deploying assets into production
+ Communicate with stakeholders, including business leaders, sales marketing, clients and our broader product development teams to present our data assets and provide updates on product development
+ Garner an understanding of compliance, legal, internationalization, accessibility, and other ongoing needs to ensure design and data science make the right CX trade-offs when needed.
+ Strengthen our product team by contributing to a culture of collaboration, innovation, and high performance.
**About You**
**Key Experiences & Skills:**
+ **Product Experience** : 6+ years of experience as a product manager, with at least 3 years as either a Technical PM or responsibility for delivering Data Science products, defining product roadmaps, prioritizing features, and working with cross-functional teams.
+ **Data Science Literacy:** a good understanding of data science and analytics. You'll be expected to be involved in deep conversations about different statistical methods, machine learning algorithms, data visualization and data infrastructure.
+ **Business Acumen:** ability to understand business goals and translate them into data science deliverables that can drive significant commercial returns. You will be able to communicate effectively with stakeholders and have a good understanding of market trends.
+ **B2B Product Expertise:** Experience in B2B products (with previous experience in HR Tech a significant plus).
+ **International Experience** : experience within a global organization, with an understanding of cultural nuances.
+ **Analytical Nature** : Ability to use data to make key decisions on tradeoffs on product initiatives. Skilled in analyzing and reporting on metrics and KPIs.
+ **Delivers Results** : Able to deliver technical product requirements and project plan, and then execute it, tempering enthusiasm for innovation with tactical prioritization of must-have features that customers require to have a frictionless experience.
+ **Collaborating and Influencing:** Negotiate with a genuine give-and-take approach, involving all stakeholders to shape a collective consensus. Build relationships that help achieve team objectives and lead cross-functional teams.
This position is open to candidates based in Melbourne or Sydney, Australia. Applicants must have current work rights in Australia to be considered.
**Who we are:**
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing
**Job:** Product Management
**Job Family:** PRODUCT MANAGEMENT
**Organization:** Enterprise Learning & Skills
**Schedule:** FULL_TIME
**Workplace Type:** Hybrid
**Req ID:** 18329
#LI-REMOTE
**About Pearson**
As the world's largest (listed on both London and NY stock exchange) learning company, Pearson has been contributing a profound impact on our world since its formation in 1844. Pearson employs more than 20,000, operates in 70 countries and delivers products and services in nearly 200 countries. We work toward a common purpose - helping people realize the life they imagine through learning. We do that by developing and providing high-quality, digital content and learning experiences, as well as assessments and qualifications, that help people build their skills and grow with the world around them. Unveil the boundless possibilities that await you. Learn more at pearsonplc.com.
**About Enterprise Learning & Skills**
Pearson's newly established Enterprise, Learning & Skills division is mandated to help enterprises drive productivity and growth by transforming how they evaluate, assess, and reskill their workforce, as well as delivering world-class vocational training and qualifications. The global talent market has never been more important than it is today, and Workforce Solutions, a key hub within the new ELS division, is well positioned to meet the needs of employers and employees who want to build a leading edge in the age of AI and a rapidly changing economy. Our offerings help employers understand labor market dynamics, how future proof their workforces at scale, and helping workers gain the skills they need to boost their employability and create new career prospects.
**About the Role**
The Senior Product Manager for our Data Science Assets will lead the delivery of our core data science and exploratory tools, ensuring that our unique IP and insights are approachable and actionable for our clients, enabling them to drive meaningful change and unlock new opportunities for their businesses.
To do this, you'll work across our Data Science & AI, Product and Engineering squads to ensure our teams are prioritizing and delivering innovative solutions to real-world customer problems. You'll be responsible for the delivery of our Data Science roadmap into production, identifying and mitigating risks, post-launch monitoring, and ensuring that our teams are releasing quality data.
While most of the team is based in Sydney, this role can be a remote AU position with the availability to flex across multiple time zones, as stakeholders' locations range from Australia, US, and the UK. As an organization with a global customer and employee footprint, some domestic and international travel may be required.
**Key Responsibilities:**
+ Develop and execute product strategies that align with the Workforce Solution business unit's vision and the broader ELS business objectives
+ Define our Data science product roadmap and technical requirements and help our data science team prioritize features based on customer feedback, market demand, and business goals.
+ Collaborate closely with Data Scientists and Engineers to define requirements, prioritize features, data pipeline improvements, testing, and deploying assets into production
+ Communicate with stakeholders, including business leaders, sales marketing, clients and our broader product development teams to present our data assets and provide updates on product development
+ Garner an understanding of compliance, legal, internationalization, accessibility, and other ongoing needs to ensure design and data science make the right CX trade-offs when needed.
+ Strengthen our product team by contributing to a culture of collaboration, innovation, and high performance.
**About You**
**Key Experiences & Skills:**
+ **Product Experience** : 6+ years of experience as a product manager, with at least 3 years as either a Technical PM or responsibility for delivering Data Science products, defining product roadmaps, prioritizing features, and working with cross-functional teams.
+ **Data Science Literacy:** a good understanding of data science and analytics. You'll be expected to be involved in deep conversations about different statistical methods, machine learning algorithms, data visualization and data infrastructure.
+ **Business Acumen:** ability to understand business goals and translate them into data science deliverables that can drive significant commercial returns. You will be able to communicate effectively with stakeholders and have a good understanding of market trends.
+ **B2B Product Expertise:** Experience in B2B products (with previous experience in HR Tech a significant plus).
+ **International Experience** : experience within a global organization, with an understanding of cultural nuances.
+ **Analytical Nature** : Ability to use data to make key decisions on tradeoffs on product initiatives. Skilled in analyzing and reporting on metrics and KPIs.
+ **Delivers Results** : Able to deliver technical product requirements and project plan, and then execute it, tempering enthusiasm for innovation with tactical prioritization of must-have features that customers require to have a frictionless experience.
+ **Collaborating and Influencing:** Negotiate with a genuine give-and-take approach, involving all stakeholders to shape a collective consensus. Build relationships that help achieve team objectives and lead cross-functional teams.
This position is open to candidates based in Melbourne or Sydney, Australia. Applicants must have current work rights in Australia to be considered.
**Who we are:**
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing
**Job:** Product Management
**Job Family:** PRODUCT MANAGEMENT
**Organization:** Enterprise Learning & Skills
**Schedule:** FULL_TIME
**Workplace Type:** Hybrid
**Req ID:** 18329
#LI-REMOTE
This advertiser has chosen not to accept applicants from your region.
0
Applied Science Manager, Data Center Core Network Engineering
Sydney, New South Wales
Amazon
Posted 9 days ago
Job Viewed
Job Description
Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Core Networking organization is seeking an experienced Applied Science Manager to lead a team of Scientists, Software Engineers, and Data Engineers in revolutionizing network operations through intelligent automation. In this role, you will define and execute multi-year science strategies to address complex challenges in Network Design, performance scaling, and Operations.
You will lead the production strategy and execution for a diverse range of models (statistical models, GenAI, autonomous agents) in a fast-paced operational environment. This leadership role requires owning machine learning operations and deployment frameworks while building scalable self-service analytics and science infrastructure that enables data driven culture in Core Networking and beyond.
Key job responsibilities
Team Leadership & Development
* Lead and mentor a cross-functional team of applied scientists, data scientists, software engineers, and data engineers
* Hire top-tier talent and provide ongoing coaching for career growth and technical development
* Foster a collaborative, innovative environment aligned with organizational objectives
* Methodically expand the team's domain expertise across diverse science areas
Self-Healing Network Development
* Collaborate with all stakeholder Design and implement autonomous network remediation systems that can take corrective actions with minimal human intervention
* Develop intelligent agents and ML models that collaborate with human network domain experts to identify and resolve network issues
* Build predictive analytics solutions to proactively detect performance issues and anomalies before they impact operations
* Create automated decision-making frameworks that balance autonomous actions with human oversight
Research & Technical Strategy
* Conduct research in GenAI, autonomous agents, LLMs, machine learning, and applied statistics for network operations
* Set technical and scientific direction by defining vision, roadmap, and success metrics for high-impact ML and AI projects
* Stay current with latest developments in network automation and AI-driven operations
* Apply knowledge from multiple disciplines to create innovative solutions for network design, build, and operations optimization
Production & Operations Excellence
* Own machine learning operations and deployment frameworks for production environments
* Support instrumentation and monitoring of production models through A/B test design and validation methods
* Manage suite of production science solutions with infrastructure as code practices
* Deploy science models into service-based application frameworks and embed them into new and existing network products
Cross-Functional Collaboration & Strategy
* Work in ambiguous environments with opportunity to influence and contribute to organizational strategy
* Contribute to complex High-Level-Designs spanning multiple fabric engineering teams
* Provide technical feedback on Low-Level-Designs with deep networking expertise
* Collaborate with stakeholders to define project goals, success criteria, and deliverables
* Communicate complex technical concepts clearly to both technical and business audiences
Project Management & Execution
* Oversee end-to-end lifecycle of data science projects from problem definition to model deployment
* Drive execution through sprint, quarterly, and annual planning with clear goal-setting and stakeholder alignment
* Balance delivering immediate results for operations customers while maintaining focus on long-term science roadmaps
* Navigate experimentation and make sound scientific and engineering decisions in complex problem spaces
A day in the life
You will collaborate with developers, customers, stakeholders, and network domain experts to convert business needs into intelligent, data-driven solutions that make our networks more autonomous and self-healing. You'll support your team in designing and executing science products that can automatically detect network anomalies, predict potential issues, and implement corrective actions. Your days will involve diving deep into network telemetry data, balancing technical execution with longer-term strategy, and growing junior scientists while working closely with engineers, network fabric owners, and leadership to reshape how we design, build, scale, and operate our network infrastructure.
About the team
About AWS
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- 5+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- 5+ years of building machine learning models or developing algorithms for business application experience
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience hiring and growing top talent
Preferred Qualifications
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
- Network domain expertise with understanding of computer and cloud networking challenges across data center network fabrics
- Experience with autonomous systems and intelligent agents for infrastructure management
- Track record of articulating business questions and using quantitative techniques to arrive at solutions using available data
- Proven ability to thrive in ambiguous environments and drive results with minimal support
- Excellent verbal and written communication skills with ability to effectively advocate technical solutions to both technical and business audiences
- Strong organizational and multitasking skills with ability to balance competing priorities across global stakeholder groups
- Experience managing portfolios of projects, resource management, and developing trusted relationships with business stakeholders
- Experience mentoring scientists to improve their skills and efficiency
- Knowledge of structured and unstructured data analysis methodologies for text and numerical data
- Experience with real-time model implementations and production monitoring systems
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.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Core Networking organization is seeking an experienced Applied Science Manager to lead a team of Scientists, Software Engineers, and Data Engineers in revolutionizing network operations through intelligent automation. In this role, you will define and execute multi-year science strategies to address complex challenges in Network Design, performance scaling, and Operations.
You will lead the production strategy and execution for a diverse range of models (statistical models, GenAI, autonomous agents) in a fast-paced operational environment. This leadership role requires owning machine learning operations and deployment frameworks while building scalable self-service analytics and science infrastructure that enables data driven culture in Core Networking and beyond.
Key job responsibilities
Team Leadership & Development
* Lead and mentor a cross-functional team of applied scientists, data scientists, software engineers, and data engineers
* Hire top-tier talent and provide ongoing coaching for career growth and technical development
* Foster a collaborative, innovative environment aligned with organizational objectives
* Methodically expand the team's domain expertise across diverse science areas
Self-Healing Network Development
* Collaborate with all stakeholder Design and implement autonomous network remediation systems that can take corrective actions with minimal human intervention
* Develop intelligent agents and ML models that collaborate with human network domain experts to identify and resolve network issues
* Build predictive analytics solutions to proactively detect performance issues and anomalies before they impact operations
* Create automated decision-making frameworks that balance autonomous actions with human oversight
Research & Technical Strategy
* Conduct research in GenAI, autonomous agents, LLMs, machine learning, and applied statistics for network operations
* Set technical and scientific direction by defining vision, roadmap, and success metrics for high-impact ML and AI projects
* Stay current with latest developments in network automation and AI-driven operations
* Apply knowledge from multiple disciplines to create innovative solutions for network design, build, and operations optimization
Production & Operations Excellence
* Own machine learning operations and deployment frameworks for production environments
* Support instrumentation and monitoring of production models through A/B test design and validation methods
* Manage suite of production science solutions with infrastructure as code practices
* Deploy science models into service-based application frameworks and embed them into new and existing network products
Cross-Functional Collaboration & Strategy
* Work in ambiguous environments with opportunity to influence and contribute to organizational strategy
* Contribute to complex High-Level-Designs spanning multiple fabric engineering teams
* Provide technical feedback on Low-Level-Designs with deep networking expertise
* Collaborate with stakeholders to define project goals, success criteria, and deliverables
* Communicate complex technical concepts clearly to both technical and business audiences
Project Management & Execution
* Oversee end-to-end lifecycle of data science projects from problem definition to model deployment
* Drive execution through sprint, quarterly, and annual planning with clear goal-setting and stakeholder alignment
* Balance delivering immediate results for operations customers while maintaining focus on long-term science roadmaps
* Navigate experimentation and make sound scientific and engineering decisions in complex problem spaces
A day in the life
You will collaborate with developers, customers, stakeholders, and network domain experts to convert business needs into intelligent, data-driven solutions that make our networks more autonomous and self-healing. You'll support your team in designing and executing science products that can automatically detect network anomalies, predict potential issues, and implement corrective actions. Your days will involve diving deep into network telemetry data, balancing technical execution with longer-term strategy, and growing junior scientists while working closely with engineers, network fabric owners, and leadership to reshape how we design, build, scale, and operate our network infrastructure.
About the team
About AWS
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- 5+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- 5+ years of building machine learning models or developing algorithms for business application experience
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience hiring and growing top talent
Preferred Qualifications
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
- Network domain expertise with understanding of computer and cloud networking challenges across data center network fabrics
- Experience with autonomous systems and intelligent agents for infrastructure management
- Track record of articulating business questions and using quantitative techniques to arrive at solutions using available data
- Proven ability to thrive in ambiguous environments and drive results with minimal support
- Excellent verbal and written communication skills with ability to effectively advocate technical solutions to both technical and business audiences
- Strong organizational and multitasking skills with ability to balance competing priorities across global stakeholder groups
- Experience managing portfolios of projects, resource management, and developing trusted relationships with business stakeholders
- Experience mentoring scientists to improve their skills and efficiency
- Knowledge of structured and unstructured data analysis methodologies for text and numerical data
- Experience with real-time model implementations and production monitoring systems
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.
1
Machine Learning Scientist, Amazon International Machine Learning
Melbourne, Victoria
Amazon
Posted 9 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 cutting-edge solutions that directly benefit millions of Amazon customers worldwide. Whether you are developing next-generation recommender systems, exploring the frontiers of generative AI, or tackling novel scientific challenges, 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.
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/or externally, contributing to advancing knowledge in the field of information retrieval and machine learning.
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, electrical engineering, or related field
- Experience building machine learning models or developing algorithms for business application
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
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 cutting-edge solutions that directly benefit millions of Amazon customers worldwide. Whether you are developing next-generation recommender systems, exploring the frontiers of generative AI, or tackling novel scientific challenges, 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.
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/or externally, contributing to advancing knowledge in the field of information retrieval and machine learning.
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, electrical engineering, or related field
- Experience building machine learning models or developing algorithms for business application
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
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.
2
Machine learning researcher
Sydney, New South Wales
Susquehanna International Group
Posted 14 days ago
Job Viewed
Job Description
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.
This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
What You’ll Do
- Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
- Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
- Design and run experiments using the latest ML tools and frameworks
- Develop automation tools to streamline research and system development
- Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
- Partner with engineering teams to implement and test models in production environments
What we're looking for
We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
- PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
- Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
- A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
- Strong programming skills in Python and/or C++
- Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
- Hands-on experience applying deep learning on time series data
- Strong foundation in mathematics, statistics, and algorithm design
- Excellent problem-solving skills with a creative, research-driven mindset
- Demonstrated ability to work collaboratively in team-oriented environments
- A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment
Why Join Us?
- Collaborate with a world-class team of researchers, engineers, and traders
- Gain access to best-in-class financial data and high-performance computing resources
- Directly impact real-time trading performance through your work
- Thrive in a collaborative, intellectually rigorous environment with a global footprint
If you're a recruiting agency and want to partner with us, please reach out to Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
This advertiser has chosen not to accept applicants from your region.
3
Machine learning engineer data safety
Sydney, New South Wales
TikTok
Posted 13 days ago
Job Viewed
Job Description
Responsibilities
Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.
Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Build industry-leading content safety systems for TikTok;
- Develop highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies;
- Understand product objectives and improve trust and safety strategy and model's performance;
- Work with cross-functional teams to protect TikTok globally.
Minimum Qualifications:
- Undergraduate, or Postgraduate who is currently pursuing a degree/master in computer science or a related technical discipline;
- Solid experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
- Experience in recommendation, search, advertising, or other related projects;
- Published papers in the top AI conferences or journals is a plus, including KDD, IJCAI, WWW, WSDM, ICML, NeurIPS, CVPR, ECCV, ICCV, ACL, etc.;
- Competition experience in machine learning, data mining, CV, NLP, etc.;
- Good understanding of data structures and algorithms;
- Passion for techniques and solving challenging problems.
If you have any questions, please reach out to us at
Job Information
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Trust & Safety
TikTok recognises that keeping our platform safe for the TikTok communities is no ordinary job which can be both rewarding and psychologically demanding and emotionally taxing for some. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start, so our candidates are well informed before joining.
We are committed to the wellbeing of all our employees and promise to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach.
Acknowledgment of Country
In the spirit of reconciliation, TikTok acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
This advertiser has chosen not to accept applicants from your region.
4
Staff Research Scientist, Machine Learning Efficiency
Sydney, New South Wales
Google
Posted 9 days ago
Job Viewed
Job Description
At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google's technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan ( for more information.
Minimum qualifications:
+ PhD in Computer Science, a related technical field, or equivalent practical experience.
+ 4 years of experience with research agendas across multiple teams or projects in Machine Learning (ML) efficiency, optimization, or a related field.
+ Experience with programming languages (e.g., Python, C or C++).
+ Experience implementing, running, analyzing experimental models or transformer architecture.
+ One or more scientific publication submissions for conferences, journals, or public repositories (e.g., ICML, ICLR, NeurIPS).
Preferred qualifications:
+ Experience in innovative research.
+ Experience as a leader within a research team.
+ Knowledge of existing hardware capabilities and constraints.
+ Understanding of chip design.
+ Ability to navigate ambiguity.
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
In this role, you will lead our Machine Learning (ML) efficiency effort. You will work on next-generation large language models architecture, in partnership with hardware engineers and researchers. You will co-design high-performance models along with the next generation of ML accelerators (TPUs) that can power them.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
+ Generate, design ideas, leading a team for finding solutions through theoretical or empirical insights.
+ Design and implementing Machine Learning (ML) algorithms, running and analyzing experiments, incorporating components that could constitute part of a future Tensor Processing Unit (TPU).
+ Collaborate with research teams located across the globe.
+ Define long-term research agendas, intermediate milestones, and align with research and product partners.
+ Impact through publication and scientific dissemination.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Minimum qualifications:
+ PhD in Computer Science, a related technical field, or equivalent practical experience.
+ 4 years of experience with research agendas across multiple teams or projects in Machine Learning (ML) efficiency, optimization, or a related field.
+ Experience with programming languages (e.g., Python, C or C++).
+ Experience implementing, running, analyzing experimental models or transformer architecture.
+ One or more scientific publication submissions for conferences, journals, or public repositories (e.g., ICML, ICLR, NeurIPS).
Preferred qualifications:
+ Experience in innovative research.
+ Experience as a leader within a research team.
+ Knowledge of existing hardware capabilities and constraints.
+ Understanding of chip design.
+ Ability to navigate ambiguity.
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
In this role, you will lead our Machine Learning (ML) efficiency effort. You will work on next-generation large language models architecture, in partnership with hardware engineers and researchers. You will co-design high-performance models along with the next generation of ML accelerators (TPUs) that can power them.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
+ Generate, design ideas, leading a team for finding solutions through theoretical or empirical insights.
+ Design and implementing Machine Learning (ML) algorithms, running and analyzing experiments, incorporating components that could constitute part of a future Tensor Processing Unit (TPU).
+ Collaborate with research teams located across the globe.
+ Define long-term research agendas, intermediate milestones, and align with research and product partners.
+ Impact through publication and scientific dissemination.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This advertiser has chosen not to accept applicants from your region.
5
Machine learning engineer and safety engineering
Sydney, New South Wales
TikTok
Posted 13 days ago
Job Viewed
Job Description
Responsibilities
Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.
We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
As a Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.
Responsibilities
- Collaborate on research projects within the team or across countries
- Work with our world-class engineers to build industry-leading trust and safety systems for TikTok
- Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies
- Improve our trust and safety strategy and work on model iterations
- Collaborate with cross-functional teams to protect TikTok globally
- Present research outcomes to internal and/or external audiences
- Work with engineering teams to apply technical achievements from our research to product prototyping.
- Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms
- Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams
Minimum Qualifications
- Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
- Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
- Firm understanding of data structures and algorithms
- Great communication and teamwork skills
- Passion about techniques and solving challenging problems
- Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision
If you have any questions, please reach out to us at
Job Information
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Acknowledgment of Country
In the spirit of reconciliation, TikTok acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
This advertiser has chosen not to accept applicants from your region.
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6
Machine learning engineer and safety engineering
Sydney, New South Wales
TikTok
Posted 13 days ago
Job Viewed
Job Description
Responsibilities
Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.
We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
As a Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.
Responsibilities
Responsibilities
- Work with our world-class engineers to build industry-leading trust and safety systems for TikTok
- Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies
- Improve our trust and safety strategy and work on model iterations
- Collaborate with cross-functional teams to protect TikTok globally
Minimum Qualifications
- Currently pursuing your bachelors or completed within 1 year; Computer Science or related engineering field.
- Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
- Firm understanding of data structures and algorithms
- Great communication and teamwork skills
- Passion about techniques and solving challenging problems
- Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision
- Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
If you have any questions, please reach out to us at
Job Information
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Acknowledgment of Country
In the spirit of reconciliation, TikTok acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
This advertiser has chosen not to accept applicants from your region.
7
Computer Vision Scientist , International Machine Learning, Australia
Melbourne, Victoria
Amazon
Posted 9 days ago
Job Viewed
Job Description
Description
** Join Our Innovative Computer Vision Team at Amazon, Australia **
Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers? We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia.
As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and powerful cloud computing resources.
Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Ph.D. in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions.
#austechjobs
Key job responsibilities
- Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog
- Analyze and extract meaningful insights from large volumes of Amazon's data to automate and enhance content
- Design, build, and evaluate generative AI models tailored to our business use cases
- Communicate clearly with business stakeholders to understand and align on requirements
- Conduct cutting-edge research and implement novel machine learning techniques to solve customer problems
- Mentor interns and junior scientists
- Publish papers at Tier-1 CV/ML conferences
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Preferred Qualifications
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience using Unix/Linux
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
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.
** Join Our Innovative Computer Vision Team at Amazon, Australia **
Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers? We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia.
As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and powerful cloud computing resources.
Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Ph.D. in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions.
#austechjobs
Key job responsibilities
- Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog
- Analyze and extract meaningful insights from large volumes of Amazon's data to automate and enhance content
- Design, build, and evaluate generative AI models tailored to our business use cases
- Communicate clearly with business stakeholders to understand and align on requirements
- Conduct cutting-edge research and implement novel machine learning techniques to solve customer problems
- Mentor interns and junior scientists
- Publish papers at Tier-1 CV/ML conferences
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Preferred Qualifications
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience using Unix/Linux
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
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
Senior / Principal Machine Learning Engineer - Oracle Health and AI
Oracle
Posted 9 days ago
Job Viewed
Job Description
**Job Description**
At Oracle Health and AI (OHAI), we're not just building the future of healthcare applications - we're redefining it. Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision. As pioneers in this space, we've consistently delivered industry-leading AI solutions, notably for the Oracle Clinical Digital Assistant, solidifying our reputation as trusted leaders in the field.
Now, as we expand rapidly, we're channelling our expertise into transformative Generative AI solutions that promise to revolutionize healthcare for millions. Operating within a dynamic, agile environment, we enjoy strong backing from senior leadership and have a clear, impactful mission. Our close partnership with Oracle Cerner enables us to directly influence patient care on a massive scale, driving real change.
As our Senior / Principal ML Engineer, you'll be at the heart of this transformation, shaping the future of AI at OHAI. Your expertise in building applications leveraging Large Language Models (LLMs) and Generative AI will be crucial in bringing our visionary solutions to life, delivering groundbreaking healthcare applications that will set new standards across the industry.
Career Level - IC3 & IC4
**Responsibilities**
**Responsibilities:**
+ Collaborate with internal teams or external vendors to collect and curate high-quality data for training and testing AI models.
+ Rapidly develop AI-based prototypes and demos to showcase solutions and ideas to stakeholders, incorporating their feedback into future development iterations.
+ Define and implement sophisticated evaluation metrics to measure and analyze model performance.
+ Run experiments and optimize models through hyperparameter tuning to achieve peak performance.
+ Conduct quantitative and qualitative analysis, including error analysis and ablation studies, to enhance model development and data quality.
+ Prepare detailed reports with evidence-based insights to support strategic decision-making.
+ Work closely with team members to ensure successful and timely model delivery and service integration.
+ Develop innovative healthcare and enterprise services by leveraging the latest advancements in generative AI, machine learning, and deep learning.
+ Participate actively in project planning, review, and retrospective sessions.
+ Write production-grade code, advocate for best coding practices, and conduct peer reviews to maintain high engineering standards.
**Qualifications and Experience:**
+ Proven experience designing and deploying scalable AI models for production environments, with a successful track record of applying AI in real-world applications. Experience building applications using Large Language Models (LLMs) is a strong advantage.
+ Demonstrated hands-on experience in full-stack development of generative AI models, from data preparation to model deployment, ensuring end-to-end AI system functionality.
+ Practical experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, and Guidance, showcasing your ability to stay at the forefront of AI technology.
+ Proven experience in designing data collection and annotation solutions, as well as systematic evaluation processes crucial for developing and maintaining high-quality production systems.
+ Strong collaboration skills with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into broader systems and deliver impactful results.
+ Demonstrated experience in optimizing, scaling, and monitoring AI systems in production environments, ensuring models meet performance, reliability, and scalability requirements.
**Preferred Qualifications:**
+ Knowledge of the healthcare domain and experience in delivering AI models specifically for healthcare applications are highly desirable.
+ Familiarity with the latest advancements in computer vision and multimodal modeling is a valuable plus.
+ Familiarity with UI/UX development is a plus, helping to bridge the gap between AI models and end-user applications, ensuring AI solutions are user-friendly and deliver excellent user experiences.
**Education:**
+ Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field, or equivalent practical experience.
Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference!
#LI-DNI
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
At Oracle Health and AI (OHAI), we're not just building the future of healthcare applications - we're redefining it. Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision. As pioneers in this space, we've consistently delivered industry-leading AI solutions, notably for the Oracle Clinical Digital Assistant, solidifying our reputation as trusted leaders in the field.
Now, as we expand rapidly, we're channelling our expertise into transformative Generative AI solutions that promise to revolutionize healthcare for millions. Operating within a dynamic, agile environment, we enjoy strong backing from senior leadership and have a clear, impactful mission. Our close partnership with Oracle Cerner enables us to directly influence patient care on a massive scale, driving real change.
As our Senior / Principal ML Engineer, you'll be at the heart of this transformation, shaping the future of AI at OHAI. Your expertise in building applications leveraging Large Language Models (LLMs) and Generative AI will be crucial in bringing our visionary solutions to life, delivering groundbreaking healthcare applications that will set new standards across the industry.
Career Level - IC3 & IC4
**Responsibilities**
**Responsibilities:**
+ Collaborate with internal teams or external vendors to collect and curate high-quality data for training and testing AI models.
+ Rapidly develop AI-based prototypes and demos to showcase solutions and ideas to stakeholders, incorporating their feedback into future development iterations.
+ Define and implement sophisticated evaluation metrics to measure and analyze model performance.
+ Run experiments and optimize models through hyperparameter tuning to achieve peak performance.
+ Conduct quantitative and qualitative analysis, including error analysis and ablation studies, to enhance model development and data quality.
+ Prepare detailed reports with evidence-based insights to support strategic decision-making.
+ Work closely with team members to ensure successful and timely model delivery and service integration.
+ Develop innovative healthcare and enterprise services by leveraging the latest advancements in generative AI, machine learning, and deep learning.
+ Participate actively in project planning, review, and retrospective sessions.
+ Write production-grade code, advocate for best coding practices, and conduct peer reviews to maintain high engineering standards.
**Qualifications and Experience:**
+ Proven experience designing and deploying scalable AI models for production environments, with a successful track record of applying AI in real-world applications. Experience building applications using Large Language Models (LLMs) is a strong advantage.
+ Demonstrated hands-on experience in full-stack development of generative AI models, from data preparation to model deployment, ensuring end-to-end AI system functionality.
+ Practical experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, and Guidance, showcasing your ability to stay at the forefront of AI technology.
+ Proven experience in designing data collection and annotation solutions, as well as systematic evaluation processes crucial for developing and maintaining high-quality production systems.
+ Strong collaboration skills with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into broader systems and deliver impactful results.
+ Demonstrated experience in optimizing, scaling, and monitoring AI systems in production environments, ensuring models meet performance, reliability, and scalability requirements.
**Preferred Qualifications:**
+ Knowledge of the healthcare domain and experience in delivering AI models specifically for healthcare applications are highly desirable.
+ Familiarity with the latest advancements in computer vision and multimodal modeling is a valuable plus.
+ Familiarity with UI/UX development is a plus, helping to bridge the gap between AI models and end-user applications, ensuring AI solutions are user-friendly and deliver excellent user experiences.
**Education:**
+ Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field, or equivalent practical experience.
Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference!
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**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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