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Principal Applied Scientist - AI for Life Sciences, AWS Applied AI Solutions - Life Sciences

Amazon Development Center U.S., Inc.

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Questions you are likely to be asked

  1. Why do you want to join Amazon Development Center U.S., Inc.?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. Tell me about a time the data was messy or wrong. What did you do?
  4. How would you explain your model's result to someone who is not technical?
  5. What would you check first if a model's accuracy dropped after going live?

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As part of the AWS Applied AI Solutions organization, we have a vision to provide end user applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide Basic qualifications: - PhD in Machine Learning, Computer Science, Computational Biology, or related field - Experience as a senior or principal-level applied scientist with a track record of solving complex technical problems - Deep expertise in LLMs, reasoning systems, and agentic AI, including architecture design, training, fine-tuning, and optimization - Strong publication record at top-tier ML or computational biology venues - Demonstrated ability to innovate on model customization techniques (fine-tuning, RLHF, retrieval augmentation, domain adaptation) and make models work for specific downstream applications - Domain experience in life sciences, computational biology, or related scientific fields (protein engineering, antibody design, clinical data, or regulatory science) - Experience translating research into products or services that others use (not just standalone publications) - Experience building and launching 0-to-1 AI products or capabilities, from initial research through first customer delivery - Excellent programming skills in Python and deep learning frameworks (PyTorch, JAX), with a modern development practice that embraces AI-assisted coding and iteration Preferred: - Experience building managed AI services or model-as-a-service offerings that scientists use directly - Deep expertise in protein structure prediction, inverse folding, or antibody optimization using AI - Demonstrated experience with clinical data standards or regulatory science - Experience with model customization at scale: efficient fine-tuning, RLHF, retrieval-augmented generation, or domain adaptation - A history of mentoring senior scientists and helping them achieve career breakthroughs 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 - 198,900.00 - 269,000.00 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 Development Center U.S., Inc., not by us.