Researcher, Artifacts - Agent Post-Training
Tasks
- Build training data pipelines
- Conduct model failure analysis
- Create graders and evals
- Debug model failures in production like settings
- Design experiments to improve agentic model behavior
- Develop synthetic data mixtures
- Improve training and launch reliability
- Own post training stack improvements
- Partner with product teams to translate signals
Perks/Benefits
- N/A
Skills/Tech-stack
Data Pipelines | Evals | Evaluation | Experimentation | Grading | LLM | Language Processing | Latency optimization | Machine Learning | Model Training | Natural Language | Natural Language Processing | Observability | RLAIF | RLHF | Reinforcement Learning | Reproducibility | Synthetic data
Education
N/A
Regions
Countries
States
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