- New York City, New York, United States +2 more
- Hybrid
- Full-time
- $200K–$350K per year
Research Scientist to work on reinforcement learning for training and aligning large language models.
Locations (3)
- New York City, New York, United States
- San Francisco, California, United States
- United States
Compensation
$200,000—$350,000 USD
Responsibilities
- Research and implement reinforcement learning techniques and translate them into data products
- Design and build data pipelines that generate high-quality training signal for RL workflows
- Prototype and iterate on end-to-end RL training recipes
- Work closely with research scientists, ML engineers, and delivery teams to translate RL research into customer-ready data products
- Stay current with the latest developments in large-scale multi-node LLM training and scalable RL methods