368,611open jobs
9,439companies
50,719added 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 an Economist on the Marketplace team, you will bring economic theory and rigorous empirical methods to the core decision systems that govern how talent and opportunities meet on Mercor. You'll study and shape marketplace dynamics - matching efficiency, pricing, incentives, liquidity, and supply/demand balance - and turn those insights into mechanisms and metrics that directly affect fill rate, hiring speed, earnings, and revenue.

This is a high-impact, applied role at the intersection of economics, data science, and engineering. You'll help design the incentive structures and allocation mechanisms of a rapidly scaling two-sided labor market, and partner closely with ML, product, and engineering to put them into production.

What You'll Own

  • Marketplace mechanism design: pricing, incentives, and allocation rules that balance supply and demand

  • Causal measurement of marketplace health - liquidity, match quality, fill rate, time-to-hire, and earnings

  • Experimentation: A/B and marketplace/switchback experiments to evaluate interventions under interference

  • Forecasting and modeling of supply, demand, and capacity across the talent network

  • Economic framing of ranking, matching, and routing objectives, in partnership with ML and engineering

Example Problems

  • Design pricing and incentive mechanisms that improve liquidity without sacrificing quality or margin

  • Quantify and mitigate marketplace failure modes: cold start, congestion, thinness, and supply/demand imbalance

  • Measure the causal impact of matching and routing changes when market participants interfere with one another

  • Build supply/demand forecasts that drive capacity planning and sourcing decisions

  • Define the objective functions and guardrail metrics the marketplace optimizes toward

What We're Looking For

  • Advanced degree (PhD or Master's) in Economics or a related quantitative field, or equivalent applied experience

  • Strong foundation in microeconomics / market design and in causal inference and experimentation

  • Proficiency with data and code (SQL plus Python or R) to run analyses end-to-end on real data

  • Ability to translate economic theory into mechanisms and metrics that ship in a live product

  • Clear communication of rigorous analysis to both technical and business audiences

Nice to Have

    • Experience with marketplaces, pricing, ranking/matching, or two-sided platforms (labor, ads, ridesharing, etc.)
    • Familiarity with experimentation under interference (network or marketplace experiments)
    • Experience partnering with ML and engineering teams to productionize models or mechanisms

Why This Role

Mercor is a two-sided marketplace at its core. This role owns the economic logic of that marketplace - the incentives, prices, and allocation rules that determine who gets matched, how fast, and at what value. Your work will shape fundamental marketplace outcomes across quality, speed, earnings, and revenue.

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.
368,611 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
$98k – $132k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • United States
Python
R
SQL
Databases
Databricks
Snowflake
AI/ML
AI Agents
Anomaly Detection
Embeddings
LangChain
LangGraph
LLM
NumPy
Pandas
Scikit-learn
Spark
TensorFlow
Transformers
Hugging Face
RAG
Analytics
Matplotlib
Seaborn
Apply
$77k – $104k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • Tampa
Python
SQL
Python
Django
Apply
$28k – $53k per year (Estimated) • In office • Saint Petersburg
Perl
PHP
Python
SQL
Cybersecurity
Tcpdump
Wireshark
Apply
$133k – $181k per year • Remote/Hybrid • Full-Time • 8+ years exp • Bachelor's Degree • Cooper
Bash
PowerShell
Python
DevOps
Ansible
Azure
Configuration Management
Docker
Kubernetes
OpenShift
Ubuntu
Windows Server
Cybersecurity
CIS Benchmarks
Defense in Depth
Nessus
Qualys Cloud Platform
Zero Trust
Apply
$98k – $132k per year • In office • Full-Time • 7+ years exp • Bachelor's Degree • Tampa
Python
Ruby
Python
Django
Ruby
Ruby on Rails
Databases
Amazon Redshift
MySQL
DevOps
Amazon EC2
AWS
AWS Lambda
Amazon S3
Management
Confluence
Jira
Slack
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
$130k – $500k per year • Equity • In office • Full-Time • San Francisco
Go
Python
Databases
Apache Kafka
ElasticSearch
PostgreSQL
Redis
DevOps
Kubernetes
Terraform
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 29 min 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
$222k – $277k per year • In office • Full-Time • 10+ years exp • Bachelor's Degree • San Francisco
DevOps
CI/CD
Immutable Infrastructure
Apply
See all jobs
This is one of many
368,611 more open roles from verified company boards, updated every day.