Machine Learning Engineer, Growth

Whatnot

San Francisco, CA, United States
Not specified; benefits: flexible time off, health...
Fully remote
5+ years industry experience building ml systems
End-to-end ml project leadership
Deep expertise in personalization and ranking
This role involves leading the design and productionization of ML models to drive buyer acquisition, activation, and retention at scale

Job Summary

  • This role involves leading the design and productionization of ML models to drive buyer acquisition, activation, and retention at scale.
  • The successful candidate will own the full model lifecycle from data collection and feature engineering to deployment and online experimentation.
  • Whatnot offers comprehensive benefits including flexible time off, home office setup allowance, and up to 16 weeks of paid parental leave.

Matching Summary

This role involves leading the design and productionization of ML models to drive buyer acquisition, activation, and retention at scale.

Salary

Not specified; Benefits: Flexible Time Off, Health Insurance, Home Office Allowance, Wellness Allowance, 401k Match

Skills & Requirements

Must-have

  • 5+ years industry experience building ML systems
  • End-to-end ML project leadership
  • Deep expertise in personalization and ranking
  • Advanced proficiency in Python, SQL, PyTorch, TensorFlow, XGBoost

Nice-to-have

  • Experience in E-commerce or Social products
  • Background in growth domains like segmentation
  • Low ego and growth mindset culture fit
  • Strong communication and cross-functional influence

Key Requirements

  • 5+ years of industry experience
  • Demonstrated success in end-to-end ML projects
  • Strong intuition around user behavior in consumer products

Work Rights

Not specified

Tailored Resume

Cover Letter