Applied Scientist II — Generative AI & LLMs, AI Lab

Amazon Science; Sunnyvale (CA); On-site; USD 172,000 - 222,000; Full time

Benefits offered by this job

RSUs

401(k) matching

Health insurance

Job summary

Amazon Science in Sunnyvale, CA seeks an Applied Scientist II to advance pioneering AI research, Generative AI, LLMs, diffusion models for catalog systems and related AI products at scale. The role offers collaboration with AI Lab researchers and opportunities to shape consumer shopping experiences worldwide.

The successful candidate will design, train, and deploy state-of-the-art models, publish research, and contribute to production systems that power millions of customers, across languages

Qualifications

• 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

Responsibilities

• Design and implement novel AI solutions for Amazon catalog of products
• Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models
• Build and deploy autonomous AI Agents in Amazon production ecosystem
• Scale AI models to handle billions of diverse products across multiple languages and geographies
• Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models, Reinforcement Learning
• Collaborate with cross-functional teams to integrate AI models into Amazon's production ecosystem
• Contribute to the scientific community through publications and conference presentations

Job description

Amazon Science in Sunnyvale, CA seeks an Applied Scientist II to advance pioneering AI research, Generative AI, LLMs, diffusion models for catalog systems and related AI products at scale. The role offers collaboration with AI Lab researchers and opportunities to shape consumer shopping experiences worldwide.

The successful candidate will design, train, and deploy state-of-the-art models, publish research, and contribute to production systems that power millions of customers, across languages