Whatnot
Machine Learning Engineer, Growth
$190K–$300K
San Francisco, CA +3 · Full-time · Posted Apr 28, 2026
- Location
- San Francisco, CA
New York, NY
Los Angeles, CA
Seattle, WA - Experience
- 5+ years of industry experience.
About the job
Build and own machine-learning personalization models and growth systems that improve buyer acquisition, activation, retention, and first-time conversion.
What you'll do
- Design, develop, and productionize ML models for acquisition, activation, and retention, including ranking, targeting, and uplift modeling.
- Own the ML lifecycle, including data pipelines, feature engineering, training, deployment, online experimentation, and feedback loops.
- Identify high-impact ML opportunities and collaborate across teams while establishing ML best practices.
What they ask for
- 5+ years of industry experience building and deploying ML systems at scale.
- Demonstrated success leading end-to-end ML projects with measurable business outcomes.
- Deep expertise in personalization, ranking, or user modeling, with understanding of consumer user behavior.
- Advanced proficiency in Python, SQL, and common ML frameworks.
Nice to have
- Experience building ML applications in E-commerce or Social products.
- Experience in growth domains such as segmentation, retention modeling, recommendation systems, or notification ranking.
Pay
$190K - $300K (base salary; currency not stated)
Tools
Python, SQL, PyTorch, TensorFlow, XGBoost
AI focus
Develop and deploy personalization, ranking, targeting, uplift, and user-modeling systems for buyer growth and retention.
Model-written summary · the original posting is authoritative