Machine Learning Engineer

San Francisco, CA - USA

Monthly Salary: $ 130 - 500

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

About Mercor

Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge experience and context that cant be captured in code alone. Today more than 30000 experts in our network collectively earn over $1.5 million a day.

Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious fast-paced and deeply committed team. Youll work alongside researchers operators and AI companies at the forefront of shaping the systems that are redefining society.

Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.

About the Role

As a Machine Learning Engineer at Mercor youll operate at the intersection of backend engineering and applied machine learning. ML Engineers at Mercor are generalists first shipping production systems that power performance prediction search recommendation and fraud detection while also bringing statistical and modeling rigor where it matters. The work spans everything from building APIs and infrastructure to training and deploying models always tied closely to core product outcomes. Youll collaborate with product engineers and operations to deliver systems that directly impact how companies source talent and how candidates find opportunities

You will:

Research train and productionize ML models for engagement prediction scoring search
Build backend infrastructure and APIs to serve ML models reliably at scale.
Run experiments analyze results and iterate quickly to improve both models and product performance.
Work cross-functionally with Operations and Product to translate business needs into model-driven solutions.
Wear many hats: from backend engineer to applied ML practitioner to product problem-solver.

What Were Looking For

Strong backend engineering skills (ex. Python/Django or similar) plus a solid foundation in applied ML and statistics.
Proven experience shipping production systems or ML-driven products end-to-end.
High ownership and comfort operating in ambiguous fast-changing environments.
Generalist mindset: willing to flex between backend modeling data pipelines and product problem-solving.

Why Mercor

Impact: Your work powers how the worlds leading AI labs train and test their models.
Learning: Get early insights into frontier model capabilities months before the market.
Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.

Benefits

Generous equity grant vested over 4 years
A $20K relocation bonus (if moving to the Bay Area)
A $10K housing bonus (if you live within 0.5 miles of our office)
A $1K monthly stipend for meals
Free Equinox membership
Health insurance

About MercorMercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge ex...