Machine Learning Scientist Amazon International jobs at Amazon in Australia, Melbourne

** Join Our Innovative Computer Vision Team at Amazon, Australia **As a member of our international Machine Learning group, you will work closely with other senior scientists in developing generative AI solutions that leverage vast amounts of Amazon data and advanced cloud computing resources.Key job responsibilities
- Communicate clearly within the team to understand and align on scope and requirements

- Experience implementing algorithms using both toolkits and self-developed code
- Experience researching about machine learning, deep learning, NLP, computer vision, data science
- Experience applying theoretical models in an applied environment

Key job responsibilities
• Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
• Identifying data needs and driving data quality improvement projects.
• Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.

- 4+ years of SQL experience
- 7+ years of business intelligence and analytics experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

As a Senior Applied Scientist in our international Machine Learning team, you will spearhead the design and development of advanced generative models (image, video, and 3D) in computer vision that will enhance shopping experience of our customers. You will partner directly with senior stakeholders to better understand business problems, dissect, design and sometimes build prototypes. You will lead and encourage productive scientific discussions to identify the most effective scientific methodologies.Key job responsibilities
- Lead the scientific development of scalable computer vision solutions to revolutionise our catalog's media content.
- Mentor and guide junior scientists and interns, fostering a culture of innovation and continuous learning.- Drive technical decision-making and set the direction for building future AI models.

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 4+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Have at least 5 publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS.

- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience in mentoring PhD students or managing a team of scientists.

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- Present your research findings to both technical and non-technical audiences

- 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

- 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

* You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
* In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
* You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
Key job responsibilities
- You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
- In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
- You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.

- PhD in computer science, machine learning, engineering, or related fields
- Experience with programming languages such as Python, Java, C++
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience researching, developing and implementing deep learning algorithms

- 3+ years of building machine learning models or developing algorithms for business application experience
- Strong publication record in top-tier peer-reviewed machine learning, natural language processing, or information retrieval conferences, e.g., NeurIPS, ICML, ICLR, ACL, KDD, AISTATS

Key job responsibilities
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.A day in the life
Diverse Experiences
AWS 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.Mentorship & 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.Work/Life Balance

- 7+ years design/implementation/consulting experience of distributed applications
- 5+ years management of technical, customer facing resources
- 5+ years of experience building integrations across WFM, CRM, and contact center solutions or experience with communications protocols and APIs such as WebRTC and SIP or similar CCaaS technology

** Join Our Innovative Computer Vision Team at Amazon, 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 advanced cloud computing resources.Key job responsibilities- Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog
- Communicate clearly with business stakeholders to understand and align on requirements- Mentor interns and junior scientists

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming or scripting language like Python, Java, C or C++
- 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

- 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