If you’re an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, Mercor would love to meet you.

What to Expect:

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.

Commitment: ~20 hours/week

Compensation: ~$80-$120/hour

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: Contributor to ML benchmarks

Location: MUST be based in the United States

Why Mercor:

Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across law, creative fields, engineering, and research use Mercor to work on frontier projects shaping the next era of AI.


[Hiring] Machine Learning Engineer/Part-time/Remote