Mercor - Machine Learning Engineer, via

Mercor - Machine Learning Engineer

This role is with Mercor, a company building a talent engine that helps leading labs and research organizations move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads, and we’re looking for an early‑career Machine Learning Engineer or an ML PhD who cares about innovation and impact.

• Remote, asynchronous work – set your own hours
• Commitment: ~20 hours per week
• Duration:
  Through December 22, with potential extension into 2026

• 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

• Experience:
  
  0–2 years as a Machine Learning Engineer or a PhD in Computer Science with required ML coursework
• Required skills:
  
  Python, ML libraries (XGBoost, Tensor Flow, scikit‑learn, etc.), data preparation, model training, etc.
• Bonus:
  Contributor to ML benchmarks
• Location:
  
  Must be based in the United States

• Rate: $80–$120 per hour, depending on region and experience
• Payments:
  Weekly via Stripe Connect
• Engagement:
  Independent contractor

• Submit your resume on Mercor’s website
• Complete the System Design Session (fill out the Machine Learning Engineer Screen)

• Entry level

• Part‑time

• Engineering and Information Technology

• Technology, Information and Internet