Machine Learning Engineer, Discovery

Whatnot
New York
Workplace: HybridFull timeUSD 180,000 - 245,000 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Communication","Leadership"]

Design, develop, and productionize machine learning models that power feed recommendations and buyer personalization. Own end-to-end ML work—scoping, data collection and feature engineering, model training and deployment, backend implementation, and online experimentation. Partner with backend engineers and ML platform/research teams to ship product initiatives for discovery and support scalability and ML best practices across the Buyer and Discovery teams.

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FursaFursa
Whatnot
Whatnot
3 days ago

Machine Learning Engineer, Discovery

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Design, develop, and productionize machine learning models that power feed recommendations and buyer personalization. Own end-to-end ML work—scoping, data collection and feature engineering, model training and deployment, backend implementation, and online experimentation. Partner with backend engineers and ML platform/research teams to ship product initiatives for discovery and support scalability and ML best practices across the Buyer and Discovery teams.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead the design, development, and productionization of ML models powering feed recommendations and buyer personalization.
  • •Drive ML projects end-to-end from scoping and planning through deployment, backend implementation, and online experimentation.
  • •Support product initiatives including exploration, international, new buyer, new seller, and small category growth.
  • •Work with backend software engineers to implement ML-based solutions into production and contribute to backend development for recommendations and feed work.
  • •Establish ML best practices across Buyer and Discovery teams and collaborate with ML platform and research teams to improve scalability and model operations.

Pay and Benefits

Salary: USD 180,000 - 245,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRemote WorkHome OfficeCell PhoneChildcare401kPensionParental Leave

Key Requirements

  • •4+ years of experience building and deploying ML models to solve user problems at scale.
  • •Apply scientific methods to solve real-world problems using consumer-scale data.
  • •Advanced proficiency in Python, SQL, and common ML frameworks such as PyTorch and XGBoost.
  • •Proficiency in applied statistics and strong visualization skills using dashboards and notebooks.
  • •Strong communication and leadership skills to influence roadmap and align cross-functional teams in a remote environment.
Experience:4+ yearsMachine learningRecommendationsPersonalizationConsumer dataE-commerceLive shopping
Skills:CommunicationLeadership
Tech Stack:PythonSQLPyTorchXGBoostDashboardsNotebooks

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