Remote Machine Learning Engineer | $80-$120 per hour
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: Contributor to ML benchmarks
Location: MUST be based in the United States
Compensation & Terms
Rate: $80-$120/hr, depending on region and experience
Payments: Weekly via Stripe Connect
Engagement: Independent contractor
How to Apply
Submit your resume
Complete the System Design Session (< 30 minutes)
Fill out the Machine Learning Engineer Screen (<5 minutes)
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