Research Engineering Manager, Post-Training - Meta Superintelligence Labs
Tasks
- Align data collection priorities with organizational goals
- Build mentor and grow post training data infrastructure team
- Build reusable data pipelines
- Communicate progress challenges and strategic data decisions to leadership
- Conduct performance reviews and career development
- Contribute hands on to critical data infrastructure projects
- Develop tooling to monitor data quality diversity and safety
- Foster engineering excellence and rapid iteration
- Influence data infrastructure technical roadmap
- Manage external data vendor partnerships
- Oversee development and scaling of data collection pipelines
- Partner with recruiting to hire research engineering talent
- Provide technical mentorship and code review
- Translate research vision into engineering plans for synthetic data generation
Perks/Benefits
- N/A
Skills/Tech-stack
Code review | Data Deduplication | Data Pipelines | Data Processing | Data Quality | Distributed Systems | High Throughput | High-throughput data | High-throughput data processing | Machine Learning | Machine Learning Engineering | PyTorch | Python | RLHF | Reinforcement Learning | SFT | Synthetic data | System design | Testing | Vendor management | Version control
Education
Regions
Countries
States
Cities
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