Mercor is looking to solve the problem of benchmarking and improving model performance and training speed across real ML workloads for leading labs and research organizations
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)
