About the Role

The Senior Applied Scientist will join AWS's Generative AI Innovation Center to help customers implement generative AI solutions. They will collaborate with scientists and architects to design and develop AI models, interact directly with customers to understand business problems, and guide them through adoption and optimization. The role requires a blend of technical expertise in machine learning and generative AI, along with strong customer-facing skills.

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 aid in implementation of generative AI solutions
• Help customers optimize solutions through model selection, training, tuning, distillation, and hardware optimization
• Help customers develop scalable, secure, and effective agentic workflows
• Provide customer and market feedback to product and engineering teams to define product direction

Required Skills & Qualifications

Must Have:

• 5+ years of building machine learning models or developing algorithms for business application
• 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 experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel/distributed computing, or high-performance computing
• 2+ years demonstrated experience working with Foundational Models
• 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-powered 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 across teams

Benefits & Perks

• Base pay ranging from $150,400 to $260,000/year depending on geographic market
• Total compensation package including equity, sign-on payments, and other forms
• Full range of medical, financial, and other benefits
• Inclusive culture with workplace accommodations for disabilities