Job Description
- Job Description:
- Lead the development and implementation of techniques aimed at training language models and agents with advanced reasoning capabilities
- Work to develop novel post training and agentic techniques to improve AI behavior
- Develop and implement novel fine-tuning and reinforcement learning techniques using synthetic data
- Design agentic systems to improve reasoning skills on strategic decision making benchmarks
- Create and maintain evaluation frameworks to measure reasoning skills and design new benchmarks
- Requirements:
- Have an MS/PhD in Computer Science, ML, or related field, or equivalent experience
- Possess strong programming skills, especially in Python
- Have experience with ML model training and experimentation
- Have a track record of implementing ML research
- Demonstrate strong analytical skills for interpreting experimental results
- Have experience with ML metrics and evaluation frameworks
- Excel at turning research ideas into working code
- Can identify and resolve practical implementation challenges
- Benefits:
- Work from home position
- Periodic in-person meetings in the US east coast and west coast
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