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Founding Machine Learning Engineer

Booko· Engineering
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Hybrid (San Francisco, CA), Hybrid (New York, NY), Hybrid (Remote (US))$140k - $220kFull-timePosted 3mo ago

About the role

Role focused on owning the models and decision systems behind Booko's dynamic pricing engine, building and deploying models in production, and shaping early engineering culture.

Responsibilities

  • Train demand-forecasting and pricing models for sparse, noisy, changing data
  • Develop optimization and decision systems that choose prices and incentives
  • Design experiments and measurement systems that tell us what actually works
  • Build evaluation and monitoring for models running across many customers
  • Help shape the engineering culture and roadmap as an early hire

Qualifications

  • Unusually strong in applied math, statistics, ML, optimization, or a related field
  • Turns open-ended questions into clear models and experiments
  • Deep care for causality, calibration, failure modes, and production behavior
  • Strong appetite for ownership

Skills

Required:Applied mathematics / statisticsMachine learning

Benefits

  • Competitive, top-of-market salary
  • Equity with real upside - you're joining early, and your equity reflects that
  • Relocation support to San Francisco
  • M5 Pro MacBook Pro and whatever else you need
  • All meals covered (coffee, lunch, dinner, snacks)
  • Regular team offsites
  • $5,000 referral bonus for a successful full-time engineering hire
Last updated Oct 25, 2026. Interested? Apply on the company site.
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About Booko

Dynamically pricing the whole economy.

Booko helps businesses that sell bookable time slots make more money by dynamically pricing their time. Unlike physical inventory, unsold time slots disappear forever, yet most time-slot-based businesses still rely on static pricing. We integrate with existing booking systems to adjust prices and incentives based on historical utilization, availability, and demand. Early customers see ~20% revenue uplift by selling time that would have otherwise gone unsold.

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