Research Engineer, Language - Personalization, Meta Superintelligence Labs
Tasks
- Build evaluation pipelines for personalized responses
- Collaborate with cross functional teams to improve personalization
- Curate synthetic data for personalization
- Design and refine post training recipes
- Design experiments and experimental details
- Design reinforcement learning environments and training recipes
- Develop personalization solutions for large language models
- Develop reusable code for research experiments
- Develop user profiling systems at scale
- Identify scope and implement innovative solutions
- Implement tool calling mechanisms
- Lead technical projects end-to-end
- Run evaluations and organize results
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Systems | Data Curation | Evaluation | Experiment design | Generative AI | Language Models | Large Language Models | Learning environments | Machine Learning | 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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