Website Ripplematchinterns
About 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.
Job Summary
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.
Key Responsibilities
- 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
Requirements
- 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
Compensation & Terms
- Rate: $80-$120/hr, depending on region and experience
- Payments: Weekly via Stripe Connect
- Engagement: Independent contractor
Schedule
Remote and asynchronous—set your own hours
Commitment
~20 hours/week
Duration
Through December 22nd, with potential extension into 2026
To apply for this job please visit job-boards.greenhouse.io.