About the Role

This senior applied scientist role focuses on developing generative AI and large language model solutions to transform advertising experiences across Amazon's off-search surfaces. The position involves designing and implementing GenAI-powered systems for ad retrieval, auctions, and personalized shopping experiences while collaborating cross-functionally to bring scalable solutions to production.

Key Responsibilities

• Design and develop GenAI, deep learning, multi-objective optimization and/or reinforcement learning solutions for ad retrieval, auctions, and shopping experiences
• Collaborate cross-functionally with scientists, engineers, and product managers to implement production-ready science solutions
• Stay current with industry trends in GenAI, LLMs, and related disciplines to bring innovative concepts and prototypes to the organization
• Enhance team's scientific rigor by implementing best-in-class algorithms, methodologies, and infrastructure for rapid experimentation
• Mentor and grow junior scientists and engineers to build a high-performing, collaborative team

Required Skills & Qualifications

Must Have:

• PhD or Master's degree with 6+ years of applied research experience
• 3+ years of building machine learning models for business applications
• Experience programming in Java, C++, Python or related language
• Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization
• Experience developing and deploying models in real-world production environments

Nice to Have:

• Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning for downstream tasks
• Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale
• Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)
• Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce
• Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences
• Experience in computational advertising, including auction theory, ad economics, and advertiser performance metrics

Benefits & Perks

• Medical benefits
• Financial benefits
• Equity compensation
• Sign-on payments
• Workplace accommodations for disabilities