AI Research Scientist, Post-Training - Meta Superintelligence Labs
Tasks
- Collaborate with cross-functional research teams
- Curate post training datasets
- Define data quality frameworks
- Design post training data collection methodology
- Develop alignment strategies
- Generate synthetic data
- Improve model quality
- Lead technical research projects from conception to production
- Optimize post training recipes
- Research data for agentic behaviors
- Research data for expert domains
- Research post training recipes
Perks/Benefits
- N/A
Skills/Tech-stack
DPO | Data Curation | Data Generation | Data Quality | Data Quality Management | Deep learning | Human Feedback | Language Model | Language Processing | Language model training | Learning from Human Feedback | Machine Learning | Model Alignment | Model Training | Natural Language | Natural Language Processing | Quality management | Reinforcement Learning | Reinforcement Learning from Human Feedback | Research Methodology | Synthetic Data Generation | Synthetic data
Education
Regions
Countries
States
Cities
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