Senior Applied Scientist, Brand Protection Machine Learning
Amazon
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This role on the market
445 open protection roles across 64 companies are on ApplySarthi right now, most of them in Chennai (25), Bengaluru (10), Mumbai (2).
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- Senior Associate Data Protection OperationsPwc
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Applied Scientist jobs in the United States · Applied Scientist jobs in Seattle · Remote Applied Scientist jobs · C++ jobs · Deep learning jobs · Hadoop jobs · Java jobs
Amazon has 15,963 open roles listed here.
- Investigations Analyst, Safety, NAST
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
445 open protection roles are hiring right now across 64 companies, mostly in Chennai — 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 Machine learning? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Senior Applied Scientist, Brand Protection Machine Learning at Amazon interview free →Do you want to tackle scientifically complex problems that protect millions of brands, sellers, and customers worldwide? Do you want to see your AI solutions act on billions of product listings and have Basic qualifications: - 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 building machine learning models or developing algorithms for business application experience - 3+ years of building machine learning models for business application experience - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of applied research experience Preferred: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
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Listed on amazon · posted 2026-11-04. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.