Machine Learning Engineer, Growth
Role Overview
This senior-level Machine Learning Engineer role on the growth team involves building and maintaining high-throughput systems for Mercor's hiring engine, including ranking pipelines, global search infrastructure, and production ML for personalization. You will work on distributed backends and ML infrastructure, focusing on real-time data processing and reliability to directly impact revenue through scalable matching and conversion systems.
Perks & Benefits
The role is fully remote, likely with flexible hours but may require alignment with team time zones for collaboration. Benefits include generous equity, health insurance, a monthly meal stipend, and a free Equinox membership, with relocation and housing bonuses if moving near an office. The culture is fast-paced and ambitious, offering career growth through work with leading AI companies and a focus on high-impact, revenue-driven projects.
Full 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
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