12 AI Research Scientist jobs in Australia
Senior Product Manager - Data Science Assets
Pearson
Posted 1 day ago
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
Service Line Specialist, Artificial Intelligence and Analytics
Sydney, New South Wales
Cognizant
Posted 1 day ago
Job Viewed
Job Description
**About Cognizant**
Cognizant is one of the world's leading professional services companies, helping clients become data-enabled and data-driven in the digital era. Our industry-based, consultative approach helps companies evolve into modern businesses. By leading clients in leveraging technologies essential to modern enterprises such as IoT, artificial intelligence, digital engineering and cloud, we enable new business and operating models that unlock new value in markets around the world. Cognizant's unwavering focus on our clients is led by over 350,000 associates, who deliver services and solutions tailored to specific industries and the unique needs of the organizations we serve.
**Overview**
We are looking for a Service Line Sales Executive to join an established account team within one or more of Cognizant's industry-leading customers to drive additional revenue growth specific to cloud solutions. We require their subject matter expertise in Artificial Intelligence & Analytics Service Line. You will partner with the customers across industry to identify areas of opportunity to improve business outcomes through digital transformation that when implemented, lead to improved process and end-user experiences for everyone. In this role, you'll need to be a strategic thinker who can translate business needs into actionable solutions, ensuring alignment with company objectives.
Key Responsibilities
- Forge relationships with VP/CXO decision makers across IT and business teams.
- Map client organization, build outstanding relationships with new business units, and build sales strategies for developing new business opportunities for cloud services
- Run end-to-end lead generation, sales, and RFI/RFP processes for specific solution
- Drive collective focus with multiple teams on larger multi service line deals
- Drive revenue by prioritization, structuring, and leading digital engagements
- Work closely with the practices and delivery organization to co-define and drive transformation strategy and service offerings
- Own and deliver on revenue and Total Commercial Value targets
- Envision and build new opportunities within existing and new businesses
- Lead financial and contract terms and outsourcing discussions
- Counsel account leadership and delivery leadership by highlighting risks and issues related to the engagements
- Develop and implement Account Growth strategy and business plans that coordinate with account teams to integrate with the account's larger growth plan
- Work in a matrix organization to achieve prospecting and other sales management goals
- Run operations and maintain process and system hygiene to enable system oriented key performance metrics and measurement
Required Qualifications
- Good experience in a business growth / sales role in data management, analytics, and AI across multiple industries especially Banking, and financial services
- Strong exposure to selling Data solutions on Azure, AWS, and GCP platforms with understanding of Data warehouse concepts like Cloud modernization, Enterprise data governance analytics and reporting.
- Sound knowledge on Snowflake, Databricks, Informatica and other leading Data Products.
- Minimum 5-7 years in Presales Data & Analytics Solutions and Services and overall 10+years.
- Excellent ability and aptitude to influence and communicate effectively with business stakeholders up to the C-Suite.
- Experience with largescale consulting and program execution engagements at the data analytics and AI space.
- Ability to appreciate and work on 360-degree aspects around a data and insights life cycle across the business value chain.
- Strong technical skills with ability to find technical solutions to business problems and engage the potential customer with "consultative selling" is essential.
- Excellent oral and written communication skills and executive presentation and persuasion skills are required.
- Ability to interface at all levels of an organization.
- Consultative selling experience is a must.
- Knowledge of industry trends, customer pain points, potential opportunities in various areas like cloud, AI/ML, modern data architecture, data governance, IoT and intelligent automations are highly desirable.
Preferred Qualifications
- MS or MBA degree preferred
- Knowledge in enterprise data management architecture and principles, master data management, data governance and data quality on cloud hyperscalers (Azure,AWS, GCP)
- Knowledge in data modernization, Cloud, data migration and digital transformation
**A Good fit for the Cognizant culture:**
A person who possesses a true passion for changing organizations for the better, and desires to do so within a goal, yet professional atmosphere filled with business professionals who all manifest a belief in partnership, innovation, and excellence. Our "Cultural Value Drivers" are well-known and clearly communicated within the organization: Open, Visible, Motivated, Empowered, Opportunity-Filled, Flexible & Collaborative.
#LI-ADITIJAIN
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Cognizant is one of the world's leading professional services companies, helping clients become data-enabled and data-driven in the digital era. Our industry-based, consultative approach helps companies evolve into modern businesses. By leading clients in leveraging technologies essential to modern enterprises such as IoT, artificial intelligence, digital engineering and cloud, we enable new business and operating models that unlock new value in markets around the world. Cognizant's unwavering focus on our clients is led by over 350,000 associates, who deliver services and solutions tailored to specific industries and the unique needs of the organizations we serve.
**Overview**
We are looking for a Service Line Sales Executive to join an established account team within one or more of Cognizant's industry-leading customers to drive additional revenue growth specific to cloud solutions. We require their subject matter expertise in Artificial Intelligence & Analytics Service Line. You will partner with the customers across industry to identify areas of opportunity to improve business outcomes through digital transformation that when implemented, lead to improved process and end-user experiences for everyone. In this role, you'll need to be a strategic thinker who can translate business needs into actionable solutions, ensuring alignment with company objectives.
Key Responsibilities
- Forge relationships with VP/CXO decision makers across IT and business teams.
- Map client organization, build outstanding relationships with new business units, and build sales strategies for developing new business opportunities for cloud services
- Run end-to-end lead generation, sales, and RFI/RFP processes for specific solution
- Drive collective focus with multiple teams on larger multi service line deals
- Drive revenue by prioritization, structuring, and leading digital engagements
- Work closely with the practices and delivery organization to co-define and drive transformation strategy and service offerings
- Own and deliver on revenue and Total Commercial Value targets
- Envision and build new opportunities within existing and new businesses
- Lead financial and contract terms and outsourcing discussions
- Counsel account leadership and delivery leadership by highlighting risks and issues related to the engagements
- Develop and implement Account Growth strategy and business plans that coordinate with account teams to integrate with the account's larger growth plan
- Work in a matrix organization to achieve prospecting and other sales management goals
- Run operations and maintain process and system hygiene to enable system oriented key performance metrics and measurement
Required Qualifications
- Good experience in a business growth / sales role in data management, analytics, and AI across multiple industries especially Banking, and financial services
- Strong exposure to selling Data solutions on Azure, AWS, and GCP platforms with understanding of Data warehouse concepts like Cloud modernization, Enterprise data governance analytics and reporting.
- Sound knowledge on Snowflake, Databricks, Informatica and other leading Data Products.
- Minimum 5-7 years in Presales Data & Analytics Solutions and Services and overall 10+years.
- Excellent ability and aptitude to influence and communicate effectively with business stakeholders up to the C-Suite.
- Experience with largescale consulting and program execution engagements at the data analytics and AI space.
- Ability to appreciate and work on 360-degree aspects around a data and insights life cycle across the business value chain.
- Strong technical skills with ability to find technical solutions to business problems and engage the potential customer with "consultative selling" is essential.
- Excellent oral and written communication skills and executive presentation and persuasion skills are required.
- Ability to interface at all levels of an organization.
- Consultative selling experience is a must.
- Knowledge of industry trends, customer pain points, potential opportunities in various areas like cloud, AI/ML, modern data architecture, data governance, IoT and intelligent automations are highly desirable.
Preferred Qualifications
- MS or MBA degree preferred
- Knowledge in enterprise data management architecture and principles, master data management, data governance and data quality on cloud hyperscalers (Azure,AWS, GCP)
- Knowledge in data modernization, Cloud, data migration and digital transformation
**A Good fit for the Cognizant culture:**
A person who possesses a true passion for changing organizations for the better, and desires to do so within a goal, yet professional atmosphere filled with business professionals who all manifest a belief in partnership, innovation, and excellence. Our "Cultural Value Drivers" are well-known and clearly communicated within the organization: Open, Visible, Motivated, Empowered, Opportunity-Filled, Flexible & Collaborative.
#LI-ADITIJAIN
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
This advertiser has chosen not to accept applicants from your region.
1
Applied Science Manager, Data Center Core Network Engineering
Sydney, New South Wales
Amazon
Posted 1 day 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.
2
Machine Learning Scientist, Amazon International Machine Learning
Melbourne, Victoria
Amazon
Posted 1 day 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.
3
Machine learning researcher
Sydney, New South Wales
Susquehanna International Group
Posted 20 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.
4
Machine learning engineer data safety
Sydney, New South Wales
TikTok
Posted 19 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.
5
2026 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine...
Melbourne, Victoria
Amazon
Posted today
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.
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6
Machine learning engineer and safety engineering
Sydney, New South Wales
TikTok
Posted 19 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.
7
Machine learning engineer and safety engineering
Sydney, New South Wales
TikTok
Posted 19 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.
8
Computer Vision Scientist , International Machine Learning, Australia
Melbourne, Victoria
Amazon
Posted 1 day 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.
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