Principal AI Research Scientist Post-Training Alignment
Tasks
- Analyze model failure modes and emergent behaviors
- Architect evaluation systems for agentic workflows and tool use
- Collaborate on scalable reproducible post training pipelines
- Define model readiness criteria and go no go recommendations
- Design experimental frameworks to evaluate model behavior and safety
- Develop reinforcement learning alignment algorithms
- Lead research on post training methods for foundation models
- Publish research and communicate technical risks
Perks/Benefits
- Advanced AI research tooling
- Flexible work arrangements
- Health dental and wellness coverage
- Hybrid work
- Large scale compute access
- Remote work
- Research publication opportunities
Skills/Tech-stack
AI Feedback | Agentic Workflows | Alignment research | Controllability | Direct Preference Optimization | Distributed Training | Evaluation | Experimentation | Human Feedback | Interpretability | Language Models | Large Language Models | Learning from Human Feedback | Long-horizon reasoning | Machine Learning | Model Readiness | Policy Optimization | Preference Learning | Preference optimization | Proximal Policy Optimization | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Safety | Tool use
Education
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