Senior Manager, Applied Science
Amazon.com Services LLC
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This role on the market
1,015 open applied roles across 164 companies are on ApplySarthi right now, most of them in Bengaluru (99), Hyderabad (17), Delhi NCR (6).
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What applied roles keep asking for: Python (59%), Machine learning (45%), Java (37%), C++ (36%), LLMs (28%), Deep learning (21%), AWS (17%), Generative AI (16%) — counted across their open postings here.
LLMs jobs · Machine learning jobs
Amazon.com Services LLC has 4,337 open roles listed here.
- Delivery Station Customer Service Associate, DSL
- Data Engineer, Partner Experience
- Machine Learning Engineer, Prime Video Ads CX
- Business Intelligence Engineer, Prime Video Partner Experience & Supply Chain
- Business Intelligence Engineer, Amazon Prime Video Product Analytics
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for applied roles keep coming back to Python, Machine learning, Java, C++. Practise those questions before you sit with Amazon.com Services LLC.
Questions you are likely to be asked
- Why do you want to join Amazon.com Services LLC?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
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Practise the Senior Manager, Applied Science at Amazon.com Services LLC interview free →We are seeking a Senior Manager, Applied Science to build and lead the science organization across Agentic WorkSpaces. This is a foundational leadership role spanning the full portfolio — Personal, Applications, Basic qualifications: - PhD or Master's in Computer Science, Machine Learning, or a related field, or equivalent applied research experience - 10+ years of applied science experience, including 3+ years managing and growing teams of scientists - Experience setting research direction and strategy across multiple teams and organizations - Deep expertise in modern ML, including LLMs / foundation models and evaluation methodology - Track record of delivering complex, ambiguous research initiatives from concept through production in enterprise environments Preferred: - Experience leading science teams working on AI agents, tool use, computer-use / GUI-grounded agents, or autonomous systems - Experience building science teams from an early stage, including hiring at senior and principal levels - Experience designing benchmarks, evaluation harnesses, and metrics for non-deterministic or agentic systems - Experience with agent safety, grounding, guardrails, or reliability for LLM-based systems - Familiarity with enterprise constraints: security, auditability, and compliance frameworks (NIST, SOC2, FedRAMP, HIPAA) - A record of scientific leadership evidenced by publications, patents, or open-source contributions - Experience influencing technical direction at VP+ level in a large technology organization 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, NY, New York - 240,600.00 - 325,500.00 USD annually USA, WA, Seattle - 218,800.00 - 295,900.00 USD annually
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Listed on amazon · posted 2026-09-11. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.