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
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
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
Rate: $80-$120/hr, depending on region and experience
Payments: Weekly via Stripe Connect
Engagement: Independent contractor
Submit your resume
Complete the System Design Session (< 30 minutes)
Fill out the Machine Learning Engineer Screen (<5 minutes)
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.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.