Researcher, Agent Post-Training, Personality
Tasks
- Analyze user signals to improve trust and satisfaction
- Build pipelines for updating training data
- Collaborate with product teams to validate improvements in workflows
- Create synthetic data and training data mixtures
- Design graders and training interventions
- Develop agent collaboration evals
- Improve reward models and RL objectives
- Run end to end experimentation and model evaluation
- Translate model behavior judgments into hypotheses
Perks/Benefits
- N/A
Skills/Tech-stack
Behavioral Science | Data Pipelines | Evals | Evaluation | Human Feedback | Human-Computer Interaction | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Pretraining | RL Objectives | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reward Modeling | Statistics | Synthetic data | Training data
Education
N/A
Roles
Data Scientist | Machine Learning Researcher | Researcher | Scientist
Regions
Countries
States
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