AI Researcher - Post-Training
Tasks
- Apply data centric AI methods
- Apply parameter efficient fine tuning
- Apply static analysis for code verification
- Collaborate with researchers and engineers
- Conduct research on policy optimization
- Design experiments for model post training
- Develop post training products for coding agents
- Explain research concepts to technical and non technical audiences
- Implement supervised fine tuning
- Perform preference and safety alignment
- Translate prototypes into production
- Use verifier based reinforcement learning
Perks/Benefits
Skills/Tech-stack
C# | C++ | Data Curation | Efficient Fine Tuning | Fine Tuning | Java | JavaScript | Language Models | Large Language Models | MLOps | Machine Learning | Parameter efficient fine-tuning | Policy Optimization | Post-training | Preference alignment | Python | Reinforcement Learning | Reinforcement Learning from Verifier | Rust | Safety alignment | Static Analysis | Supervised Fine Tuning | Synthetic data
Education
Roles
AI | AI Researcher | Machine Learning Researcher | Researcher
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