M

ML Engineer, Frontier Data Products

Mercor • United States
Relocation
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Build ML systems that score, validate, and improve complex work products for Mercor's Frontier Data Products. Design evaluation frameworks and feedback loops for ambiguous tasks with imperfect labels. Requires 4+ years of experience shipping production ML systems and strong engineering fundamentals.

Key Highlights
Applied ML product engineering under real production constraints
Own production ML behavior end-to-end including precision/recall, drift, latency, cost
In-person five days a week in San Francisco, NYC, or London
4+ years of experience required
Relocation bonus up to $15k
Key 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: 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 without sacrificing debuggability or human oversight.
Technical Skills Required
Python AWS Postgres
Benefits & Perks
Bi-annual performance bonus
Generous equity grant vested over 4 years
Up to $15k relocation bonus
$10K housing bonus
$1.5K monthly meal stipend
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Nice to Have
Familiarity with LLM applications, model-assisted workflows, evaluation frameworks, or human-in-the-loop ML

Job Description

About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.

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