San Francisco, United States
Data Scientist - Marketplace Incentives
Build AI · San Francisco · United States
- Salary
- $2,000 per month
- Contract
- Full time
- Occupation
- Data Scientist
Posted: 8/30/2026 · Last checked: 11/10/2026
Job description
Quoted in full from Build AI's job posting. Gavroche does not edit it.
About Build AI
Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.
Job Summary
This role exists to hillclimb the dataset objective: the ideal dataset, the objective function, the taxonomy, and the value of incremental data. You take that objective and maximize it: incentives, marketplace design, and collection behavior so the next hour we collect actually moves the score.
Key Responsibilities
Treat the Dataset & Quality objective / value function as the thing you optimize — not raw hours, not vanity volume
Design marketplace mechanics (task mix, targeting, bonuses, payouts, eligibility) so collectors produce high-value data
Run experiments: treatment assignment, holdouts, pay and bonus tests; keep the ones that hillclimb the objective and kill the rest
Measure whether incremental collection is improving the dataset under the value function, and report that in language ops can act on
Work with software to ship incentive and payout changes into the collection product (not a spreadsheet that never lands)
Watch for Goodhart: collectors optimizing the proxy instead of the objective, and close those holes
You may be a good fit if you have (Must-have qualifications)
Quantitative: you can take someone else’s objective function and optimize against it
Comfortable designing and reading experiments (assignment, holdouts, power, leakage)
Comfortable with messy field / collection data
You like iteration: small changes, measured against the objective, shipped again
Strong candidates may also have experience with (Nice-to-have qualifications)
Experience with marketplaces, incentives, pricing, or growth experimentation (gig, two-sided, or similar)
Experience with payouts, bonuses, or pay systems that moved real money
You have shipped experiment results into a product, not only a notebook
Benefits
Competitive pay
Medical, dental, and vision packages with generous premium coverage
$500 per month credit for waiving medical benefits
Housing subsidy of $2k per month for those living within walking distance of the office
Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)
Various wellness benefits covering fitness, mental health, and more
Daily lunch and dinner in our office
Unlimited compute budget subject to ROI justification
Unlimited Codex and Claude credits
Travel
How we're different
Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.
We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: research@build.ai
From Gavroche data
Figures computed from live adverts on Gavroche; the job text above is the employer's.
Similar roles in San Francisco
- Machine Learning Engineer · Raydar, San Francisco
- Senior AI Engineer · Raydar, San Francisco
- Machine Learning Engineer · Raydar, San Francisco
- Member of Technical Staff - ML Engineer - Recommendations & User Modeling · Perplexity, San Francisco
- Member of Data Staff - Data Scientist · Perplexity, San Francisco
- Member of Technical Staff - Applied AI Engineer - Agent Capabilities · Perplexity, San Francisco
200 open roles like this one; at most three per employer shown.
What data scientist adverts in the United States state
Middle half: 175,000 – 248,288 USD a year; median 205,000 USD.
From 378 adverts by 152 employers that state a salary, annualised.
How data scientist roles in the United States are worked
5% fully remote · 2% hybrid · 93% do not say
Of 201 adverts. An advert that does not state a work mode is counted as not saying, not as on-site.
New openings in San Francisco, by week
- 8/17/2026 238
- 8/24/2026 272
- 8/31/2026 346
- 9/7/2026 302
- 9/14/2026 373
- 9/21/2026 438
- 9/28/2026 527
- 10/5/2026 495
- 10/12/2026 595
- 10/19/2026 454
- 10/26/2026 485
- 11/2/2026 479
- 11/9/2026 108
5,112 openings over 12 weeks, by the week they were published.
Other roles at Build AI
- Quantitative - Head of Dataset & Quality · San Francisco
- Software Engineer - Scaling · San Francisco
- Software Engineer - Data Visualization · San Francisco
- ML Engineer - Inference Optimization · San Francisco
- Product Lead · San Francisco
- Head of Sales · San Francisco
17 open, including roles outside the United States.