AI Research Manager - Meta Superintelligence Labs
Tasks
- Build and mentor researchers and engineers
- Define engineering best practices
- Define research quality standards
- Define technical roadmap and research direction
- Lead end to end cross functional projects
- Lead research team
- Make hands-on technical contributions
- Oversee LLM post training stack
- Plan measurable research outcomes
- Review code and provide technical guidance
- Translate product needs into research questions
- Unblock scaling and modeling challenges
Perks/Benefits
- N/A
Skills/Tech-stack
Agent/tool use | Agentic Workflows | Coding Sandboxes | Data Generation | Data Processing | Deep learning | Distributed Systems | Evaluation infrastructure | Fine Tuning | High Throughput | High-throughput data | High-throughput data processing | Human Feedback | LLM post training | Language Models | Large Language Models | Learning environments | Learning from Human Feedback | Long Horizon Agents | Machine Learning | Personalization | Post-training | Reinforcement Learning | Reinforcement Learning Environments | Reinforcement Learning from Human Feedback | Search | Supervised Fine Tuning | Synthetic Data Generation | Synthetic data | Tool use | Web Browsing Environments | Web browsing
Education
Regions
Countries
States
Cities
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