Applied Scientist , Amazon

Amazon • Palo Alto, CA

1d

About The Position

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 like 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!

Requirements

• 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)

Responsibilities

• Design and run large-scale experiments
• Analyze model behavior
• Develop new training recipes that directly improve core capabilities like reasoning, user experience, and other frontier paradigms that redefine what LLMs can do.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees