Machine Learning Engineer

As a Machine Learning Engineer, you will:

• Draft detailed natural-language plans and code implementations for machine learning tasks.
• Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments.
• Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.

The role requires:

• 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required).
• Proficiency in Python and ML libraries (XGBoost, Tensorflow, scikit-learn, etc.).
• Experience with data preparation and model training.