AmazonPosted 3w ago

Applied Scientist - Computer Vision, International Machine Learning, Australia

Applied Scientist - Computer Vision, International Machine Learning, Australia at Amazon scores 96 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

AU, VIC, Melbourneseniorfull-time

AI in this role

computer-vision

** Join Our Innovative Computer Vision Team at Amazon, Australia **

Are you passionate about developing computer vision models to transform the shopping experience for fresh produce and build AI models for fresh monitoring at scale? We invite you to be part of our high-performing Computer Vision team at Amazon, Australia.

As a member of our international Machine Learning group, you will play a key role in building AI solutions that leverage vast amounts of Amazon data and cloud computing resources.

Our mission is to build next-generation AI systems that monitor fresh produce 24/7 and ensure we deliver the best quality produce to our customers. 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 for the fresh monitoring system
- 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 s.o.t.a. research and implement novel machine learning techniques to solve customer problems
- Mentor interns and junior scientists

Basic qualifications

- PhD or equivalent research 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer Vision

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer Vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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