Applied Machine Learning Engineer, Economist
Mercor · San Francisco, California
- Location
- San Francisco, California, United States
- Employment
- Full time
- Level
- Mid level
- Posted
- 2 months ago
About this role
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
As published by Mercor. Applications are handled on their site.
Skills this posting mentions
About Mercor
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
All 87 openings at MercorOne click, then it is written
Apply to Mercor with a resume written for this role.
Queue Applied Machine Learning Engineer, Economist and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Mercor’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
Listed from the job board Mercor publishes. Refolk is not the employer and does not handle their hiring. Applications go to Mercor directly.