Job description

ABOUT MERCOR Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. 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 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 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 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 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

Requirements

Must-haves

The problems are technically demanding and tightly coupled to business outcomes: latency, reliability, throughput, and system quality all directly affect marketplace performance.
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
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
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
Python, Go, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpythongopostgreskubernetes

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Wellness