Software Engineer, Marketplace

Mercor


Job Location:

San Francisco, CA - USA

Monthly Salary: $ 130 - 500
Posted on: 5 days ago
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

About Mercor

Mercors mission is to organize human intelligence to power the AI economy. 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 cant be captured in code alone. Today more than 30000 experts in our network collectively earn over $3 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. Youll 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 Software Engineer on the Marketplace team you will own the core systems that bring human intelligence to AI opportunities Youll work on search matching allocation and workflow infrastructure at the heart of the marketplace where systems deliver the worlds 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 Youll 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

Example Problems

  • Build the systems that determine which candidates are eligible for which opportunities

  • Design matching and allocation infrastructure that balance speed quality and fill rate

  • Improve the performance and reliability of APIs serving marketplace decisions in real time

  • Develop workflow engines for onboarding vetting routing and placement

  • Design backend abstractions that let product and ML teams iterate quickly without degrading system quality

What Were 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

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.

Tech Stack

Python Go Kafka Postgres Redis Elasticsearch Kubernetes Terraform

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


Required Experience:

IC

About MercorMercors mission is to organize human intelligence to power the AI economy. 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 ...

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