Researcher, Agentic Post-Training
Tasks
- Build training and evaluation infrastructure
- Collaborate across research infrastructure and product teams
- Create model evals and diagnostics
- Decide integration readiness with partner teams
- Develop horizontal model improvements
- Improve feedback loop from product usage
- Improve post training of agentic models
- Own end to end research and engineering projects
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Data Pipelines | Diagnostics | Evals | Function Calling | Grading systems | Human Feedback | LLM Evaluation | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Model Training | Multi-Agent | Multi-Agent Systems | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reward Modeling | Tool use
Education
Regions
Countries
States
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