Applied Scientist - Computer Vision, International Machine Learning, Australia
Amazon
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This role on the market
441 open international roles across 81 companies are on ApplySarthi right now, most of them in Bengaluru (26), Hyderabad (10), Mumbai (3).
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Remote Applied Scientist jobs · C++ jobs · Computer vision jobs · Deep learning jobs · Java jobs
Amazon has 14,401 open roles listed here.
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- Applied Scientist II, RBS Techbengaluru
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- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
Counted across 14 company job boards, updated as roles open and close.
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441 open international roles are hiring right now across 81 companies, mostly in Bengaluru — so the questions repeat. Practise them before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Deep learning? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Applied Scientist - Computer Vision, International Machine Learning, Australia at Amazon interview free →** 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 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: - 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.
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Listed on amazon · posted 2026-08-31. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.