Staff Applied Scientist, Reinforcement Learning
Tasks
- Automate post training loops with agents
- Build and evaluate reward models
- Build and evaluate verifiers
- Collaborate with research engineering and clinical teams
- Design reinforcement learning post training methods
- Develop LLM as judge pipelines
- Develop conversational AI environments and simulations
- Run experiments to analyze post training gains
Perks/Benefits
- N/A
Skills/Tech-stack
LLM Training | LLM-as-judge | Language Models | Language Processing | Large Language Models | Machine Learning | Model Verifier | Natural Language | Natural Language Processing | On Policy | On policy Distillation | Policy Distillation | PyTorch | Python | RLHF | Reinforcement Learning | Reward Modeling
Education
Roles
Regions
Countries
States
Cities
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