Machine Learning Engineer
Machine Learning Engineer
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USD 130000 - 500000
1 Vacancy
Job Description
About Mercor
Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source vet and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective its used by all of the top 5 AI labs.
We scaled from $1-500M in revenue run rate in the last 17 months making us the fastest growing company in the world. Our growth is accelerating. We averaged 11% week over week growth in July 18% WoW growth in August and 19% WoW growth in September. The team is small and we remain profitable because we cant hire great people as quickly as revenue is growing.
About the Role
As a Machine Learning Engineer at Mercor youll be a key contributor to the backbone of our core product: models and systems that power talent discovery evaluation and trust. From fraud detection to candidate-job matching to performance prediction your work will directly impact how companies find talent and how people land their next opportunity.
This role blends generalist backend engineering with applied machine learning and statistical modeling. Youll work across the stack: designing and deploying models building scalable infrastructure and collaborating with product and operations teams to solve real-world problems.
What youll work on
Researching training and deploying ML models in production (e.g. fraud/cheating detection candidate engagement and conversion prediction search/recommendation).
Building backend infrastructure and APIs to serve ML models at scale.
Collaborating with product engineers sourcing/operations and other teams to align models with business impact.
Running experiments analyzing results and iterating quickly to improve model and product performance.
Wearing multiple hats sometimes data scientist sometimes backend engineer always problem solver.
What were looking for
Strong background in backend engineering (Python/Django or similar).
Solid foundation in machine learning and statistics; experience applying ML in production.
Comfort with ambiguity and a willingness to work across domains.
Familiarity with LLMs search/recommendation systems or classification models is a bonus.
Above all: a strong generalist engineer with the curiosity and rigor to tackle diverse problems.
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
Employment Type
Full-Time
