Mercor - Machine Learning Engineer, application via RippleMatch at RippleMatch Opportunities
New York, New York, United States -
Full Time


Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

120.0

Posted On

17 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, ML Libraries, Data Prep, Model Training, Reinforcement Learning, Natural Language Processing

Industry

technology;Information and Internet

Description
This role is with Mercor. Mercor uses RippleMatch to find top talent. At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you’re an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we’d 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. 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 on Mercor's website Complete the System Design Session (< 30 minutes) Fill out the Machine Learning Engineer Screen (
Responsibilities
As a Machine Learning Engineer, you will draft detailed plans and code implementations for machine learning tasks and convert novel problems into agent-executable tasks. You will also identify failure modes and apply solutions to improve model performance.
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