Principal AI Research Scientist Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: London · San Francisco · Toronto · Remote (US/CA/EU
AMER - United States - California - San Francisco - Pier 9, United States
R
USD 152K-269K (estimate) Senior-level Full Time
Tasks
- Build scalable reproducible post training workflows
- Communicate technical risks limitations and trade offs
- Conduct post training for model development
- Create evaluation frameworks for long horizon reasoning and tool use
- Define model readiness criteria and go no go recommendations
- Design experiments for robustness and reasoning quality
- Develop reinforcement learning algorithms
- Drive human in the loop evaluation with high quality annotations
- Improve model reliability controllability and alignment
- Lead model analysis and interpretability
Perks/Benefits
- N/A
Skills/Tech-stack
AI Feedback | Agentic Systems | Direct Preference Optimization | Distributed Training | Evaluation | Experiment design | Human Feedback | Human-in-the-loop | Language Processing | Large Scale Training | Large-scale | Learning from Human Feedback | Long-horizon reasoning | Machine Learning | Model Interpretability | Natural Language | Natural Language Processing | Policy Optimization | Preference Learning | Preference optimization | Proximal Policy Optimization | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | The Loop
Education
Regions
Countries
States
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