Applied Scientist, AWS Infrastructure Services Science
Amazon Web Services, Inc.
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This role on the market
2,028 open infrastructure roles across 290 companies are on ApplySarthi right now, most of them in Bengaluru (66), Hyderabad (28), Delhi NCR (12).
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What infrastructure roles keep asking for: AWS (30%), System design (22%), Kubernetes (21%), Python (21%), Observability (19%), Terraform (15%), CI/CD (13%), Linux (12%) — counted across their open postings here.
Applied Scientist jobs in the United States · Remote Applied Scientist jobs · AWS jobs · C++ jobs · Computer vision jobs · Data warehousing jobs
Amazon Web Services, Inc. has 1,234 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for infrastructure roles keep coming back to AWS, System design, Kubernetes, 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.
- Walk me through how code gets from a commit to production where you work.
- Tell me about an outage you handled. What did you learn from it?
- How do you decide what to monitor, and what should wake someone up at night?
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Practise the Applied Scientist, AWS Infrastructure Services Science at Amazon Web Services, Inc. interview free →AWS Infrastructure Services Science (AISS) researches and builds machine learning models that influence the power utilization at our data centers to ensure the health of our thermal and electrical infrastructure Basic qualifications: - Master's degree - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Experience building machine learning models or developing algorithms for business application - Experience implementing algorithms using toolkits and self-developed code - Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS Preferred: - Experience researching about machine learning, deep learning, NLP, computer vision, data science - PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field 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, VA, Arlington - 136,000.00 - 184,000.00 USD annually USA, VA, Herndon - 136,000.00 - 184,000.00 USD annually USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
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Listed on amazon · posted 2026-09-18. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, Inc., not by us.