- Seattle, Washington, United States +1 more
- On-site
- Full-time · Senior
- $168K–$262K per year
- 5+ years
Build and optimize large-scale ML infrastructure for Amazon Stores LLMs, leading design, architecture, and production deployment.
Locations (2)
- Seattle, Washington, United States
- Palo Alto, California, United States
Compensation
USA, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Responsibilities
- Architect and build scalable ML infrastructure powering LLM training and post‑training workflows
- Transform real‑world customer interactions into high‑quality training signals
- Build and optimize post‑training and RL systems
- Drive experimentation and iteration velocity by building tooling and frameworks
- Partner closely with applied scientists to translate frontier techniques into production‑grade systems
Requirements
- Bachelor's degree in computer science or equivalent
- Nice to have: full software development life cycle