Applied Scientist II - Gen AI & LLM, PXT

Amazon • Seattle, WA

15d

About The Position

Amazon is seeking an Applied Scientist II to join our team and drive innovation
in Generative AI and Large Language Model (LLM) applications. In this role, you
will design, develop, and deploy AI solutions that directly impact millions of
customers and transform how Amazon operates at scale. You'll work with
state-of-the-art technologies including foundation models, prompt engineering,
retrieval-augmented generation (RAG), and fine-tuning techniques to solve
complex business problems.

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 in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice To Haves

• PhD in computer science, machine learning, engineering, or related fields
• 2+ years of hands-on experience with foundation models and LLM applications (prompt engineering, RAG, fine-tuning, RLHF, Transformer models, and AI Agents)
• Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Lambda, etc.)
• Publications in top-tier conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, COLM, etc.)
• Experience with model optimization techniques (quantization, distillation, efficient inference)
• Knowledge of responsible AI practices including bias detection, fairness, and safety evaluation

Responsibilities

• Model Development & Innovation: Design and implement novel GenAI/LLM solutions using foundation models (e.g., Claude, GPT, LLaMA) and AWS services including Amazon Bedrock, SageMaker, and other AWS AI/ML tools
• Research & Experimentation: Conduct applied research to advance the state-of-the-art in LLM applications, including prompt engineering, few-shot learning, fine-tuning, and model evaluation
• Production Deployment: Build scalable, production-ready AI systems that serve millions of requests with high reliability, low latency, and cost efficiency
• Cross-Functional Collaboration: Partner with product managers, engineers, and business stakeholders to translate business requirements into technical solutions and drive measurable impact
• Technical Leadership: Mentor junior scientists, contribute to technical strategy, and establish best practices for GenAI development across the organization
• Evaluation & Metrics: Design rigorous evaluation frameworks to measure model performance, bias, safety, and business impact
• Documentation & Communication: Publish technical papers, create detailed documentation, and present findings to both technical and non-technical audiences

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