$130,000-$300,000 / yr · Offers Equity
Full-time position · San Francisco
About Mercor
Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.
We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.
About the Role
As an Applied AI Engineer at Mercor, you’ll work at the intersection of machine learning research, product engineering, and customer success.
You’ll be responsible for refining human datasets and transforming them into model-ready signals. You’ll also translate real-world insights into product and infrastructure features that meaningfully improve the platform. In addition, you’ll run tight feedback loops across the Ops and Engineering teams to ensure clients get the maximum value from Mercor by building tooling and prototypes.

What Are We Looking For?

• Willingness to work 6 days a week
• Previous founding or startup experience
• Fluency in React, Next.js, and Python
• Experience designing schemas for SQL and NoSQL databases, Airflow or similar orchestration ETL tools
• Experience deploying LLMs or other models in production, including evaluation pipelines
• Experience with Systems Integration across recruitment systems, payments systems, CRMs and data warehouses
• Attention to detail and eagerness to learn

Compensation

• Base cash comp from $130K-$300K
• Generous equity grant
• Performance bonus
• 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

Please refer the Job description for details