About the Role

Senior Applied Scientist role in AWS's Generative AI Innovation Center, focusing on customizing and optimizing generative AI models for enterprise customers. You will design and implement state-of-the-art AI solutions, collaborate with customers to solve real-world challenges, and guide them through adoption and production deployment.

Key Responsibilities

• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions
• Interact with customers directly to understand business problems and guide implementation of generative AI solutions
• Help customers optimize solutions through model selection, training, tuning, distillation, and hardware optimization
• Provide customer and market feedback to product and engineering teams to define product direction

Required Skills & Qualifications

Must Have:

• PhD in computer science, engineering, mathematics, operations research, or highly quantitative field plus 5 years relevant experience, or Master's plus 10 years
• 5+ years hands-on experience with Python to build, train, and evaluate models
• 5+ years experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel/distributed computing, or high-performance computing
• 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, fine-tuning, or reinforcement learning techniques
• Scientific publication track record at top-tier AI/ML/NLP conferences or journals

Nice to Have:

• Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
• Experience with model optimization techniques (quantization, distillation, compression, inference optimization)
• Experience with open-source frameworks for model customization (trl, verl) and LLM applications (LangChain, LlamaIndex)
• Strong communication skills to convey technical concepts to non-experts
• Track record of leading design, implementation, and delivery of scientifically-complex solutions spanning multiple teams

Benefits & Perks

• Inclusive team culture with employee-led affinity groups and diversity conferences
• Mentorship and career growth with knowledge-sharing and career-advancing resources
• Work-life balance with flexibility and support for working culture