Applied Scientist, Tabular Foundational Model, AWS
Amazon Development Center U.S., Inc.
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This role on the market
32 open foundational roles across 11 companies are on ApplySarthi right now, most of them in Bengaluru (2).
- Systems Development Engineer I, Amazon Foundational Security Services (AFSS)Amazon.com Services LLC
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What foundational roles keep asking for: Python (50%), C++ (38%), Java (38%), Ruby (25%), AWS (22%), C# (22%), Linux (22%), Machine learning (22%) — counted across their open postings here.
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 Development Center U.S., Inc. has 550 open roles listed here.
- Senior Technical Product Manager - Agentic AI, Velocity Labs
- Principal Technical Product Manager - Agentic AI, Velocity Labs
- Financial Analyst II, ASP Partner Core Finance
- Cloud Hardware Dev Engineer, AWS AI/ML UltraServers
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
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Questions you are likely to be asked
- Why do you want to join Amazon Development Center U.S., Inc.?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Tell me about yourself, and why this role is the right next step.
- Tell me about a problem you solved at work that you are proud of.
- Tell me about a time you disagreed with your manager. What happened?
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Practise the Applied Scientist, Tabular Foundational Model, AWS at Amazon Development Center U.S., Inc. interview free →Do you want to work on Tabular Foundational Model (TFM) to evolutionize how enterprises unlock insights from structured data? We're building Amazon's frontier large-scale tabular foundation model (Mitra Basic qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning 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 2026-09-25. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Development Center U.S., Inc., not by us.