Machine Learning Engineer, Growth

Whatnot · Consumer · San Francisco, CA · Engineering

Machine Learning Engineer focused on driving top-of-funnel growth and first-time buyer success for a livestream shopping platform. This role will build and own ML models for personalization in onboarding and user targeting, impacting buyer growth and first-time user conversion.

What you'd actually do

  1. Lead the design, development, and productionization of ML models that power user acquisition, activation, and retention (e.g., ranking models, targeting systems, uplift modeling).
  2. Own the full model lifecycle: from data collection and feature engineering to model training, evaluation, deployment, and online experimentation.
  3. Identify and prioritize high-impact opportunities where machine learning can unlock growth, collaborating with product, engineering, data, and marketing stakeholders.
  4. Drive technical excellence and establish ML best practices across the Buyer Growth team.

Skills

Required

  • Python
  • SQL
  • PyTorch
  • TensorFlow
  • XGBoost
  • personalization
  • ranking
  • user modeling
  • user behavior in consumer products
  • communication
  • leadership

Nice to have

  • E-commerce ML applications
  • Social products ML applications
  • user segmentation
  • retention modeling
  • large scale recommendation systems
  • notification ranking

What the JD emphasized

  • 5+ years of industry experience building and deploying ML systems at scale
  • Demonstrated success in leading end-to-end ML projects that drove measurable business outcomes

Other signals

  • ML models for user acquisition, activation, and retention
  • personalization in onboarding and user targeting
  • first-time buyer success
  • growth at Whatnot through intelligent, data-driven experiences