As a Machine Learning Engineer , you’ll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous , part-time role designed for people who thrive on clear structure and measurable outcomes. Schedule: Remote and asynchronous—set your own hours Commitment: ~20 hours/week Duration: Through December 22nd, with potential extension into 2026 What You’ll Do 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 What You’ll Bring Experience: 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) Required Skills: Python , ML libraries ( XGBoost , Tensorflow , scikit-learn , etc.), data prep , model training , etc. Bonus: ...
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