Research Scientist (Generative & Agentic AI)
Tasks
- Advance post training techniques
- Collaborate to ship research into production
- Design evaluations and benchmarks
- Improve model performance efficiency scalability
- Research and build agentic AI systems
- Track frontier research and publish findings
Perks/Benefits
Skills/Tech-stack
Benchmarking | Distributed Training | Fine Tuning | Function Calling | Human Feedback | Language Models | Large Language Models | Learning from Human Feedback | Model Evaluation | PyTorch | Python | RAG | Reinforcement Learning | Reinforcement Learning from Human Feedback | Tool use | Vision Language Models | Vision-language
Education
Roles
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