Applied Research Engineer
San Francisco, California; Remote, US or Europe; Remote, Canada; Toronto, Ontario; Remote, Canada; Montreal, Quebec
R
A USD 200K-300K (estimate) Mid-level Full Time
Tasks
- Align human feedback into AI training processes
- Build AI assisted data labeling tools
- Create technical documentation and educational content
- Develop human in the loop data systems
- Implement direct preference optimization
- Implement reinforcement learning from human feedback
- Investigate impact of demonstrations preferences and critiques
- Measure and improve human data quality
- Optimize human feedback collection algorithms
- Publish research and present at conferences
- Translate research findings into product prototypes
- Use active learning and adaptive sampling
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Adaptive Sampling | Deep learning | Direct Preference Optimization | Human Feedback | JAX | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Multimodal Models | Preference optimization | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | TensorFlow
Education
Regions
Countries
States
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