Research Engineer, Language - Personalization, Meta Superintelligence Labs
Tasks
- Collaborate with cross functional teams to improve personalization
- Design and run experiments
- Design evaluations for personalized responses
- Develop and refine post training recipes
- Develop reusable code for evaluations
- Implement tool calling mechanisms
- Lead complex technical projects end to end
- Organize and report experimental results
Perks/Benefits
Skills/Tech-stack
Data Curation | Experimental Design | Generative AI | Language Models | Large Language Models | Learning environments | Post-training | PyTorch | Python | RAG | Reinforcement Learning | Reinforcement Learning Environments | Spark | Synthetic Data Curation | Synthetic data | Tool-Calling | User Profiling
Education
Roles
AI | AI Research Scientist | Engineer | Research Engineer | Research Scientist | Scientist
Regions
Countries
States
Cities
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