ML Engineer - Scientific Computing

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Scientific / ML Engineer
Type: Contract
Compensation: $90–$140/hour
Location: Remote

Role Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in machine learning and scientific computing.
• Design challenging, domain-relevant tasks and write accurate solutions for machine learning and scientific computing problems.
• Evaluate tasks and solutions, providing clear, written technical feedback.
• Design and evaluate technical tasks covering model training, experiment design, and data pipelines.
• Develop rubrics to assess the methodological soundness and reproducibility of ML and scientific work.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

• 4+ years of experience in machine learning, data science, or scientific computing.
• Experience with PyTorch, JAX, or TensorFlow, and strong Python skills (NumPy, pandas, scikit-learn).
• Ability to engage reliably for at least 20 hours/week during weekdays.
• Strong written communication skills.

Preferred

• Publications, open-source contributions, or shipped ML systems.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.