Mercor · AI infrastructure

Software Engineer, Marketplace

  • San Francisco (On‑site)
  • Full-time
  • $160,000 - $500,000 / year

Still open on Mercor's site · checked 6 hours ago

Posted
Visa & relocation
  • Mercor offers relocation support for this job

In the job ad:

“Up to $15k Relocation bonus”
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What you'll do

As written by Mercor · Read the original

About the Role

As a Software Engineer on the Marketplace team, you will own the core systems that bring human intelligence to AI opportunities You'll work on search, matching, allocation, and workflow infrastructure at the heart of the marketplace, where systems deliver the world’s top experts to staff our cutting edge projects.

The problems are technically demanding and tightly coupled to business outcomes: latency, reliability, throughput, and system quality all directly affect marketplace performance.

What You'll Build

  • Backend services that power candidate-job matching, routing, and marketplace workflows

  • APIs and internal systems for search, eligibility, scoring, allocation, and fulfillment

  • Data models and system abstractions for a rapidly evolving labor marketplace

  • Infrastructure for real-time and asynchronous decisioning at high volume

  • Operational systems and tooling that keep product-critical workflows reliable, observable, and easy to evolve

Why This Role

This role sits on a core decision layer of the product. Your work will directly shape how the marketplace operates: which opportunities get filled, how quickly hiring happens, and how reliably the system scales as volume and complexity increase.

Requirements

What We're Looking For

  • • Track record of building and operating reliable backend systems in production

  • • Strong judgment in system design, performance, reliability, and data modeling

  • • Comfort working on high-throughput APIs, distributed systems, and asynchronous workflows

  • • Ability to translate product and marketplace requirements into clean technical systems

  • • High engineering standards and a bias toward simple, durable abstractions

Nice to Have

  • • Experience with search, recommendation, matching, scheduling, or marketplace systems

  • • Experience supporting ML-powered products or integrating model inference into production systems

  • • Familiarity with event-driven architecture, queues, caching, and observability tooling

Skills

Stack

  • Python
  • Go
  • Kubernetes
  • Terraform

Working languages

English

Salary & benefits

Benefits

  • Bi-annual performance bonus structure

  • Generous equity grant vested over 4 years

  • Up to $15k Relocation bonus

  • $10K housing bonus (if you live within 0.5 miles of our office)

  • $1.5K monthly stipend for meals

  • Free Equinox membership

  • $200 monthly laundry reimbursement

  • $200 monthly personal wellness reimbursement

  • Health, Dental, Vision insurance

Company

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