Machine Learning Engineer

Responsibilities include: Drafting detailed natural-language plans and code implementations for machine learning tasks. Converting novel machine learning problems into agent-executable tasks for reinforcement learning environments. Identifying failure modes and applying golden patches to LLM-generated trajectories for machine learning tasks.

Requirements include: Having 0–2 years as a Machine Learning Engineer or a PhD in Computer Science. Possessing required skills such as Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, and model training. Being based in the United States.