About the Role

The Applied Scientist role at AWS's Generative AI Innovation Center involves designing and implementing generative AI solutions for real-world customer challenges. You will collaborate with scientists and architects, directly interact with customers, and optimize models for production. This position requires strong ML expertise and hands-on experience with generative AI technologies.

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 a highly quantitative field, or Master's plus 5 years of relevant work experience
• 5+ years of hands-on experience with Python to build, train, and evaluate models
• 2+ years of experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing
• Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
• Scientific publication track record at top-tier AI/ML/NLP conferences or journals

Nice to Have:

• 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, fine-tuning, or reinforcement learning techniques
• Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
• Track record of building and deploying ML models at scale
• 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)
• Hands-on experience building generative AI applications on AWS using services like Amazon Bedrock and Amazon SageMaker
• Strong communication skills to convey technical concepts to non-experts

Benefits & Perks

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