Senior Applied Scientist - Computer Vision Amazon 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

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.

The AWS Solutions Architecture team works with the Australian Government and AWS partners on architecting innovative solutions for all our stakeholders. Our work can be highly sensitive, time critical focusing on strategic and operational outcomes. We are passionate about supporting our Public Sector community and will go the extra mile to ensure we achieve successful outcomes. We are consistently challenged with unique and diverse requirements that require 'out of the box' thinking supported by deep technical knowledgeThe broad responsibilities will include owning the technical engagement and ultimate success around specific implementation projects, and developing a deep expertise in the AWS technologies as well as broad knowledge of how applications and services are constructed using the AWS platform.Key job responsibilities
As a Senior Solutions Architect, you’ll help your customers plan their successful cloud journey. You’ll solve complex, technical challenges so your customers can focus on their business. This includes using your knowledge to craft scalable, flexible, and resilient cloud architectures. You’ll drive technical solutions discussions, diving deep into the details with customer teams.Building relationships to understand our customers and partners is key. As a trusted technical advisor, you’ll use your interpersonal skills to influence a variety of stakeholders from technical teams to executives. You’ll help ensure their short-term technology decisions are aligned with their long-term goals. Speeding up the adoption of our services will be part of your day to day.You’ll also act as thought leader in the wider community. This includes playing a lead role in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops. You won’t just be part of an industry movement; you’ll be leading it.
A day in the life
About AWSDiverse 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

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 7+ years of infrastructure architecture, database architecture and networking experience
- Can take the lead on a complex technical projects, which may require the participation of other teams to deliver.

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

As an Applied Scientist Intern, you'll work in a fast-paced, cross-disciplinary team of pioneering researchers. You'll tackle complex problems, developing solutions that either build on existing academic and industrial research or stem from your own innovative thinking. Your work may even find its way into customer-facing products, making a real-world impact.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 Computer Vision and Machine Learning- Present your research findings to both technical and non-technical audiencesKey Opportunities:- Access cutting-edge tools and hardware (large GPU clusters)
- Address challenges at an unparalleled scale
- Become a disruptor, innovator, and problem solver in the field of computer vision- Opportunities to become an FTE after the internship

- Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Computer Vision or Machine Learning
- Experience in computer vision or related fields
- Strong programming skills (Python preferred)

* 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