Machine Learning Engineer (SWE)
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 a Machine Learning Engineer at Mercor, you will build and optimize the backbone of Mercor’s core product: a model that predicts job performance.
Your contribution will play a critical role at helping every company find their perfect candidate, and will empower a billion people to find their next job.
What Are We Looking For?
Previous founding or startup experience
Deep expertise in back-end development (Python/Django)
Extensive experience working with LLMs
Expertise in search or recommendation systems, data classification, or LTR models
Exceptional attention to detail and a relentless willingness 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
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Average salary estimate
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