Machine Learning Engineer, Growth

Whatnot
San Francisco, New York, Los Angeles, Seattle
Full timeUSD 190,000 - 280,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Leadership","Influence","Cross-functional collaboration","Growth mindset"]

Own ML models that drive buyer growth across onboarding and acquisition/engagement at Whatnot. Build and productionize personalization, ranking, targeting systems, and uplift modeling by leading the end-to-end ML lifecycle—pipelines, feature engineering, training, deployment, and online experimentation. Collaborate with product, engineering, data, and marketing to prioritize high-impact opportunities and establish ML best practices for the Buyer Growth team.

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FursaFursa
Whatnot
Whatnot
4 months ago

Machine Learning Engineer, Growth

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Source: Company careers pageValidated by: Fursa AI
Last checked: 59 minutes agoStatus: Live

Job Summary

Own ML models that drive buyer growth across onboarding and acquisition/engagement at Whatnot. Build and productionize personalization, ranking, targeting systems, and uplift modeling by leading the end-to-end ML lifecycle—pipelines, feature engineering, training, deployment, and online experimentation. Collaborate with product, engineering, data, and marketing to prioritize high-impact opportunities and establish ML best practices for the Buyer Growth team.
Location: San Francisco, New York, Los Angeles, Seattle
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead design, development, and productionization of ML models for user acquisition, activation, and retention (ranking, targeting, uplift).
  • •Own the full ML lifecycle: data pipelines, feature engineering, training, deployment, and online experimentation.
  • •Build feedback loops from postbacks, conversions, and downstream revenue signals.
  • •Identify and prioritize high-impact growth opportunities using ML with product, engineering, data, and marketing partners.
  • •Drive technical excellence and establish ML best practices across the Buyer Growth team.

Pay and Benefits

Salary: USD 190,000 - 280,000 annually
Perks:Health InsuranceDentalVisionRemote WorkHome Office401kPensionParental LeaveChildcareWellness Stipend

Key Requirements

  • •5+ years building and deploying ML systems at scale.
  • •Led end-to-end ML projects delivering measurable business outcomes.
  • •Expertise in personalization, ranking, or user modeling with strong consumer user behavior intuition.
  • •Advanced proficiency in Python and SQL, plus common ML frameworks such as PyTorch, TensorFlow, or XGBoost.
  • •Strong communication and leadership skills to influence roadmap and align cross-functional teams.
Experience:MarketplacesE-commerceSocial productsConsumer products
Skills:CommunicationLeadershipInfluenceCross-functional collaborationGrowth mindset
Tech Stack:PythonSQLPyTorchTensorFlowXGBoost

Company Brief

Whatnot
Whatnot is a live-stream shopping marketplace connecting sellers and collectors for trading cards, toys, and collectibles. The platform hosts live auctions and interactive streams, enabling creators and small businesses to sell directly to engaged communities.
Industry: Online Marketplaces
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: United States
Founded: 2019
WebsiteLinkedIn