Mercor is looking to build the talent engine that helps leading labs and research orgs move AI forward by benchmarking and improving model performance and training speed across real ML workloads
Requirements
- Python
- ML libraries (XGBoost, Tensorflow, scikit-learn, etc.)
- data prep
- model training
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
Other
- 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required)
- MUST be based in the United States
- Independent contractor
- Submit your resume on Mercor's website
- Complete the System Design Session (< 30 minutes)
