Machine Learning Engineer, Applied Research

Whatnot • Commerce • Marketplaces • Python • SQL • 9 days ago
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Salary
$180k – $245k per year
Location
Hybrid (San Francisco, United States)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 48 · for this role: 36 · green card filings: 8
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jul 7, 2026. Whatnot scores C on the Alion truth index.

Overview
Company
Impact
Profile match

Whatnot

Whatnot is a US live shopping marketplace headquartered in San Francisco where sellers host livestreams to sell trading cards, collectibles, fashion, electronics, live plants and many other categories. Founded in 2019 and backed by investors including Andreessen Horowitz, Y Combinator and CapitalG, it operates in North America, Europe, Australia and Japan with teams in New York, Los Angeles, London, Dublin, Berlin, Krakow, Sydney and Tokyo. It hires software and application security engineers, product designers, sales managers for international markets, recruiters, communications managers and finance and tax staff.
whatnot.com • HQ: San Francisco, United States • Marketplaces • 1001-5000 employees • Est. 2019
Tech stack of Whatnot
Backed by Sequoia Capital, Y Combinator, Andreessen Horowitz

Join Whatnot, the largest live shopping platform in North America and Europe. As a Machine Learning Engineer, you will lead research projects, build models of marketplace behavior, and contribute to Whatnot's external technical presence. You should have 5+ years of industry experience, depth in relevant areas, and advanced proficiency in Python and SQL. The position is remote but requires proximity to New York City.

Missions

  • Lead research projects in marketplace dynamics, including simulation, auction mechanics, and experimentation methods.
  • Take ideas from hypothesis to production, including literature review, prototyping, offline validation, and online experiments.
  • Build models of marketplace behavior, including learned simulators and surrogate models of long-term outcomes.
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