Applied Scientist , Amazon

About the role

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.

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
• Collaborate with talented scientists, engineers, and TPMs to innovate on behalf of our customers
• Focus on post-training, including instruction tuning, reward modeling, and reinforcement learning

Requirements

Basic Qualifications:

• 3+ years of building models for business applications
• 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

Preferred Qualifications

• 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)

Qualifications

• 3+ years of building models for business applications
• 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 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 neurips, iclr, acl, emnlp, naacl)

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Pay

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs).

Schedule

Final compensation will be determined based on factors including experience, qualifications, and location.