AI Researcher - Post-Training
Tasks
- Align model preferences and safety
- Apply data centric AI methods
- Build verifier based reinforcement learning systems
- Conduct policy optimization for language models
- Convert prototypes into products
- Design hypotheses and experiments
- Develop post training methods for coding language models
- Explain research concepts to technical and non technical audiences
- Implement advanced products for agentic coding practices
- Iterate proofs of concept
- Perform supervised fine-tuning
- Stay current with LLM and agentic developments
- Use parameter efficient fine tuning techniques
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 | Proximal Policy Optimization | Python | Reinforcement Learning | Rust | Safety alignment | Supervised Fine Tuning | Synthetic data
Education
Roles
AI | AI Researcher | Research Scientist | Researcher | Scientist
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