Machine Learning Engineer, Growth

WhatnotSan Francisco, CA
Remote

About The Position

The Buyer Growth team is responsible for driving Whatnot’s top-of-funnel growth and first-time buyer success. We're looking for a Machine Learning Engineer to accelerate buyer growth at Whatnot through intelligent, data-driven experiences. As the first ML engineer, you’ll build and own ML models personalization in onboarding and user targeting in our acquisition and engagement channels. This is a high-impact role on a team directly responsible for growing Whatnot’s buyer base and improving first-time user conversion.

Requirements

  • 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.
  • Deep expertise in personalization, ranking, or user modeling; strong intuition around user behavior in consumer products.
  • Advanced proficiency in Python, SQL, and common ML frameworks (e.g., PyTorch, TensorFlow, XGBoost).
  • Strong communication and leadership skills; ability to influence roadmap and align cross-functional teams.

Nice To Haves

  • Experience building ML applications in E-commerce or Social products
  • Prior experience in growth domains: user segmentation, retention modeling, large scale recommendation systems, notification ranking, etc.

Responsibilities

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

Benefits

  • Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support
  • Home office setup allowance
  • Monthly allowance for cell phone and internet
  • Care benefits
  • Monthly allowance for wellness
  • Annual allowance towards Childcare
  • Lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Monthly allowance to dogfood the app
  • 16 weeks of paid parental leave + one month gradual return to work company leave allowances run concurrently with country leave requirements which take precedence.
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