AI Researcher - Post-Training (f/m/d)
Tasks
- Apply parameter-efficient fine-tuning methods
- Apply verifier based reinforcement learning methods
- Conduct policy optimization for large language models
- Design hypotheses and experiments
- Develop and implement post training solutions for coding agents
- Drive research projects and deliver prototypes
- Explain complex technical concepts to technical and non technical audiences
- Perform supervised fine-tuning
- Stay current with LLM and agentic developments
- Translate research prototypes into production products
- Use data centric AI for synthetic data and curation
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | Data Curation | Efficient Fine Tuning | Fine Tuning | Java | JavaScript | Language Models | Large Language Models | MLOps | Machine Learning | PEFT | PPO | Parameter efficient fine-tuning | Policy Optimization | Preference optimization | Python | Reinforcement Learning | Reinforcement Learning from Verification | Rust | Safety alignment | Static Analysis | Supervised Fine Tuning | Synthetic data | TypeScript
Education
Roles
Regions
Countries
States
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