Machine Learning Engineer

About the Company

Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Mercor is a profitable Series C company valued at $10 billion.

Responsibilities

• Build ML systems that score, validate, and improve complex work products where correctness is nuanced and labels are imperfect.
• Design evaluation frameworks for ambiguous tasks where ground truth is partial, delayed, or disputed.
• Build feedback loops that turn review, disagreement, correction, and adjudication into measurable model and system improvements.
• Own production ML behavior end-to-end including precision/recall tradeoffs, regression detection, drift, latency, cost, and explainability.
• Improve model quality using prompting, fine-tuning, retrieval, active learning, heuristics, and error analysis.
• Partner with backend engineers to integrate inference into durable, long-running workflows.

Requirements

• Track record of shipping ML systems that improved a real product, workflow, or business metric.
• Strong instincts for model quality, evaluation design, error analysis, and production failure modes.
• Comfort operating in ambiguous problem spaces where labels are imperfect.
• Sound judgment regarding prompting, fine-tuning, heuristics, retrieval, or human review.
• Solid engineering fundamentals across the full ML stack.

Preferred Qualifications

• Familiarity with LLM applications.
• Experience with model-assisted workflows or evaluation frameworks.
• Experience with human-in-the-loop ML.

Benefits

• Bi-annual performance bonus structure.
• Generous equity grant vested over 4 years.
• Up to $15k Relocation bonus.
• $10K housing bonus for residents within 0.5 miles of the office.
• $1.5K monthly stipend for meals.
• Free Equinox membership.
• $200 monthly laundry reimbursement.
• $200 monthly personal wellness reimbursement.
• Health, Dental, and Vision insurance.