Applied Scientist

Overview

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You’ll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers.

We’re looking for scientists with deep LLM expertise to help us build the next generation of large language models. Our team focuses on post‑training, including instruction tuning, reward modeling and reinforcement learning. In this role, you will design and run large‑scale experiments, analyze model behavior and develop new training recipes that directly improve core capabilities such as reasoning, user experience and other frontier paradigms that redefine what LLMs can do.

If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Practical experience with LLM pre‑training or post‑training, and experience working with organic, synthetic, agentic, or reasoning data for LLMs
• Published research in top conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and/or demonstrated significant industry influence in the field of AI

• Experience using Unix/Linux
• Experience in professional software development
• Experience working on SOTA LLMs.
• Multiple first‑author LLM‑related publications in top‑tier conferences (e.g., NeurIPS, ICLR, ACL, EMNLP, NAACL)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Base salary ranges and benefits:

• USA, CA, Palo Alto – $ – $ annually
• USA, WA, Seattle – $ – $ annually

Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on 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.

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