Responsibilities:

📍Develop and implement novel fine-tuning and reinforcement learning techniques using synthetic data generated from multi-turn interactions. 📍Use these to design agentic systems to improve reasoning skills to be evaluated on long-horizon strategic decision making benchmarks. 📍Create and maintain evaluation frameworks to measure reasoning skills and design new benchmarks.

You may be a good fit if you:

📍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

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