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