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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

CArtificial IntelligenceAdvertising

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 Mercor

One 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.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 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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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.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 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.