Research Engineer, Post-Training - Meta Superintelligence Labs
Tasks
- Build post training data pipelines for SFT and RLHF
- Build reusable data processing pipelines
- Develop environments for agentic trajectories
- Generate and filter synthetic data at scale
- Measure data quality diversity and safety
- Source securely ingest and prepare high quality datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Code review | Data Deduplication | Data Quality | Data Quality Filtering | Data pipeline | Distributed Systems | Language Models | Language Processing | Large Scale Distributed Systems | Large-scale | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | RLHF | SFT | Scale distributed systems | Synthetic data | Testing | Version control
Education
Roles
Regions
Countries
States
Cities
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