368,657open jobs
9,442companies
50,883added this week
Browse all
Salary
$130k – $500k per year
Location
In office (San Francisco)
Employment
Full-Time
Overview
Company
Impact
Profile match
Mercor is an artificial intelligence infrastructure company headquartered in San Francisco, California, and founded in 2023. The company operates a platform that connects a global network of domain experts, including physicians, lawyers, and engineers, with AI labs to provide high-quality data for reinforcement learning from human feedback (RLHF) and model evaluation. It develops specialized benchmarks like APEX to measure model performance on economically valuable tasks and provides enterprises with tools to monetize their workflow data for AI training.

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

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,657 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
Team Lead DevOps 1 day ago
$23k – $62k per year (Estimated) • Remote • 5+ years exp • Moscow
Bash
Python
Erlang
Erlang
EMQX
Databases
Apache Kafka
ClickHouse
PostgreSQL
RabbitMQ
Redis
Redpanda
Trino
DevOps
Ansible
AWS
AWX
FinOps
HAProxy
Hetzner
Kubernetes
SLI/SLO/SLA
Terraform
Yandex Cloud
Amazon S3
Apply
$123k – $251k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Dallas • Denver • Birmingham
Java
SQL
Java
Gradle
Hibernate
Maven
Spring Boot
Spring Framework
Databases
Apache Kafka
MySQL
Redis
DevOps
CI/CD
Dynatrace
Jenkins
Kubernetes
OpenShift
Cybersecurity
SonarQube
Apply
Platform Engineer 1 day ago
$87k – $140k per year • In office • Full-Time • 3+ years exp • Berlin
Databases
PostgreSQL
Redis
DevOps
AWS
Azure
Bicep
CI/CD
Docker
GCP
GitHub Actions
Kubernetes
OpenShift
Terraform
GitHub
Apply
Founding Engineer 1 day ago
$81k – $116k per year • In office • Full-Time • Bachelor's Degree • Munich
JavaScript
Python
TypeScript
Databases
MySQL
PostgreSQL
Frontend
Next.js
React.js
Tailwind CSS
DevOps
AWS
Azure
CI/CD
Docker
GCP
Grafana
Kubernetes
OpenTelemetry
Prometheus
Apply
$77k – $140k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • Berlin
Node JS
TypeScript
JavaScript
Node JS
Prisma
Databases
PostgreSQL
Redis
Frontend
Next.js
Tailwind CSS
tRPC
React.js
Apply
$200k – $500k per year • Equity • In office • Full-Time • PhD • San Francisco
AI/ML
LLM
NLP
LLM Evaluation
Post-training
AI Agents
Apply
$130k – $500k per year • Equity • In office • Full-Time • New York
Python
TypeScript
JavaScript
Python
Django
FastAPI
Pydantic
Databases
DuckDB
MySQL
PostgreSQL
Redis
Snowflake
AI/ML
LangChain
LangGraph
LangSmith
LLM
AI Agents
Human-in-the-Loop
LLM Guardrails
Frontend
Next.js
React.js
Tailwind CSS
DevOps
Datadog
Kubernetes
Apply
$130k – $500k per year • Equity • In office • Full-Time • New York
Go
Python
Rust
AI/ML
Synthetic Data
Post-training
Apply
$130k – $500k per year • Equity • In office • Full-Time • New York
Python
Databases
PostgreSQL
DevOps
AWS
Apply
$180k – $300k per year • Equity • In office • Full-Time • 6+ years exp • San Francisco
Apply
$170k – $220k per year • Equity 1–2.8% • In office • Full-Time • 3+ years exp • San Francisco
Python
SQL
Python
Django
AI/ML
AI Agents
Context Engineering
LLM
LLM Evaluation
RAG
Apply
$173k – $314k per year • In office • Full-Time • 12+ years exp • Bachelor's Degree • San Francisco
Apex
JavaScript
Node JS
Python
SQL
TypeScript
Apex
Lightning Web Components
AI/ML
Agentforce
AI Agents
Claude
Claude Code
Copilot
Cursor
LLM
RAG
DevOps
AWS
Azure
CI/CD
Docker
GCP
GitHub
Grafana
gRPC
Kubernetes
New Relic
Prometheus
Splunk
Marketing
Salesforce
QA
Cypress
JMeter
k6
Locust
Playwright
Postman
Rest-Assured
Selenium
Apply
Senior ML Engineer 2 hours ago
$149k – $224k per year • In office • Full-Time • 5+ years exp • Master's Degree • San Francisco • Washington • Palo Alto
Python
Python
pySpark
Databases
Apache Kafka
AI/ML
AI Agents
Agentforce
Airflow
Anomaly Detection
Feature Store
Flink
Ray
Red Teaming
Spark
DevOps
CI/CD
Docker
Kubernetes
Cybersecurity
MITRE ATT&CK
Marketing
Salesforce
Apply
In office • Internship • 1+ year exp • Bachelor's Degree • San Francisco
Go
JavaScript
Ruby
Scala
Apply
$360k – $530k per year • In office • Full-Time • Bachelor's Degree • San Francisco
MATLAB
Python
MATLAB
Simulink
AI/ML
OpenAI
Robotics
Digital Twin
Apply
See all jobs
This is one of many
368,657 more open roles from verified company boards, updated every day.