Machine Learning Engineer, Growth

· Remote

Location

Remote

Type

Full Time

Job Description

Machine Learning Engineer Growth

Posted An Hour Ago
Be an Early Applicant
San Francisco CA USA
In-Office
200K-200K Annually
Mid level
Artificial Intelligence • Software
We use AI to understand human ability and match talent with the opportunities they're best suited for.
The Role
Build systems for Mercor's hiring engine including pipelines for indexing sourcing scoring and conversion. Work with ML and backend technologies.
Summary Generated by Built In
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 30000 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

Top Skills

Elasticsearch
Go
Kafka
Kubernetes
Postgres
Python
Redis
Terraform
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The Company
HQ: San Francisco California
2217 Employees
Year Founded: 2023

What We Do

We use AI to understand human ability and match talent with the opportunities they're best suited for.

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Date Posted

04/10/2026

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