Researcher, Synthetic RL
$295k - $445k • San Francisco • FullTime
Posted 9mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Research Engineer
About the job
As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You’ll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems. We’re looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained.
Responsibilities
- Research and develop reinforcement learning algorithms
- Design and run experiments to study training dynamics and model behavior at scale
- Collaborate with engineers and researchers to integrate successful approaches into model training pipelines
Requirements
- Strong background in reinforcement learning, machine learning research, or related fields
- Strong engineering and statistical analysis skills
- Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving
- Motivated by seeing research ideas influence real-world AI systems
Benefits
- Hybrid work model (3 days in office per week)
- Relocation assistance