Applied Science Manager, AWS Startups
Amazon Web Services, Inc.
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This role on the market
125 open startups roles across 25 companies are on ApplySarthi right now, most of them in Bengaluru (2), Mumbai (1), Hyderabad (1).
- Applied AI Engineer, Startups (Codex)OpenAI
- Applied AI Engineer, Startups (Codex)Openai
- Head of New Business, Startups EMEAStripe
- Applied AI Architect, StartupsAnthropic
- Startup Account Manager, South, AWS StartupsADSIPL - Telangana · hyderabad
What startups roles keep asking for: AWS (42%), SaaS (15%), Generative AI (14%), Python (12%) — counted across their open postings here.
Applied Science Manager jobs in the United States · AWS jobs · C++ jobs · Computer vision jobs · Deep learning jobs
Amazon Web Services, Inc. has 1,234 open roles listed here.
- Sr. Technical Account Manager, TAM
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for startups roles keep coming back to AWS, SaaS, Generative AI, Python. Practise those questions before you sit with Amazon Web Services, Inc..
Questions you are likely to be asked
- Why do you want to join Amazon Web Services, Inc.?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- What is a weakness you are working on, and how?
- 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.
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Practise the Applied Science Manager, AWS Startups at Amazon Web Services, Inc. interview free →Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world's largest companies. Basic qualifications: - 2+ years of scientists or machine learning engineers management experience - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Master's degree, or PhD and 4+ years of building machine learning models or developing algorithms for business application experience - Experience with any programming language such as Python, Java, C++ - Knowledge of machine learning approaches and algorithms Preferred: - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Experience with training and deploying machine learning systems to solve large-scale personalization, recommendation, or ranking systems 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 - 183,800.00 - 248,700.00 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 Web Services, Inc., not by us.