- Palo Alto, California, United States
- On-site
- Full-time
- $160K–$250K per year
Model Engineer responsible for designing and running rigorous experiments to improve model capability, data recipes, and training science for frontier coding agents.
Compensation
The annual compensation range for this role is listed below. Annual Salary: $160,000 - $250,000 USD
Responsibilities
- Design and run rigorous experiments that turn research ideas into measurable gains in model capability
- Improve data recipes through data quality, deduplication, and mixture experiments
- Define what makes RL data and rewards good, including grader design and preventing reward hacking
- Advance training science, from architecture and scaling experiments to post-training recipes for coding and computer-use agents
- Build evals and targeted tasks that expose model weaknesses and guide where the team invests next
Requirements
- MS or PhD in CS, ML, math, physics or a related field, or equivalent research experience
- Nice to have: handle ambiguous research tasks with little guidance
- Nice to have: own a research direction end to end
- Nice to have: care an unusual amount about data quality
- Nice to have: truth seeking