Machine Learning Engineer, Growth
Mercor
Posted: April 10, 2026
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Quick Summary
We're looking for a Machine Learning Engineer with expertise in AI development to join our team in San Francisco, California, United States, on a full-time basis.
Required Skills
Job Description
About Mercor
Mercor is defining the future of work. 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 can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 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. You’ll 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 San Francisco, NYC, or London offices.
About the Role
As a Machine Learning Engineer on the growth team at you will build the systems that run Mercor’s hiring engine: indexing and global discovery, cross-platform sourcing and engagement, real-time scoring and personalization, and high-throughput conversion pipelines that turn interest into hires.
What you’ll build.
• Low-latency ranking & matching pipelines that process thousands of signals.
• Global off-platform people search, job-distribution and ad/acquisition infrastructure.
• Production ML and feature infra for personalization and incentive modeling.
• Real-time event and data pipelines, high-throughput APIs, and observability for mission-critical services.
Who we want. Engineers with expertise building distributed backends or ML infra, proven ownership of large-scale matching, indexing, recommender or search systems; strong production instincts and experience with high-throughput services, monitoring, and reliability.
Why join. If you want backend work that blends ML, distributed systems, and real revenue impact, Growth is the team.
Tech Stack: Python, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform
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 $1.5K monthly stipend for meals
• Free Equinox membership
• Health insurance