Research Engineering Manager, Post-Training - Meta Superintelligence Labs
Menlo Park, CA
USD 177K-290K (estimate) Mid-level Full Time Found 8d ago
Tasks
- Build and mentor research engineering team
- Build reusable data pipelines
- Collaborate on data collection priorities
- Communicate progress and challenges to leadership
- Conduct performance reviews and provide mentorship
- Contribute hands-on to data infrastructure projects
- Develop tooling for data quality and safety
- Foster engineering excellence and data rigor
- Influence data infrastructure roadmap
- Manage external data vendor partnerships
- Oversee data collection pipeline scaling
- Partner with recruiting to hire talent
- Review code and unblock challenges
- Set engineering standards and best practices
- Translate research vision into engineering plans
Perks/Benefits
- N/A
Skills/Tech-stack
AI research | Code review | Communication | Data Filtering | Data Infrastructure | Data Pipelines | Data Processing | Data Quality | Distributed Systems | High Throughput | High-throughput data | High-throughput data processing | ML frameworks | PyTorch | Python | Research Publications | Strategic Planning | System design | Team Management | Testing | Vendor management | Version control
Education
Bachelor's | Machine Learning | Master's | PhD in Computer Science | Related Technical Fields
Regions
Countries
States
Cities
Language: en |
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