Mercor - Machine Learning Engineer, application via RippleMatch
Skills
- Proficiency in Python
- Experience with ML libraries (TensorFlow, scikit-learn, XGBoost, etc.)
- Data preparation and model training workflows
- Familiarity with reinforcement learning concepts and agent/task framing
- Ability to read, produce, and validate model evaluation benchmarks
- Comfort working asynchronously and communicating progress clearly
Responsibilities
- Draft clear natural-language plans and implement code for assigned ML tasks
- Convert novel ML problems into agent-executable tasks for RL-style evaluation environments
- Identify failure modes in model behavior and apply curated/golden patches to LLM-generated trajectories
- Prepare data, train models, and run benchmark experiments using standard ML libraries
- Deliver reproducible code, short technical writeups, and clear outcome-oriented reports
- Collaborate asynchronously with the Mercor team and follow defined milestones and timelines
Education
- 0–2 years experience as a Machine Learning Engineer OR a PhD in Computer Science with ML coursework
- Strong coursework or hands-on experience in machine learning methods and tooling
Benefits
- High hourly rate ($80–$120/hr) with weekly payments via Stripe Connect
- Fully remote and asynchronous schedule; set your own hours
- Part-time commitment (~20 hours/week) through December 22 with potential extension
- Opportunity to contribute to ML benchmarks and impactful research-focused projects
- Independent contractor engagement—flexible short-term consulting experience
Average salary estimate
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