Whatnot
Machine Learning Engineer, Discovery
$180K–$300K
New York, NY · Hybrid · Full-time · Posted Sep 8, 2026
- Experience
- 4+ years of industry experience.
About the job
Leads the development, deployment, and production operation of machine learning models for feed recommendations and buyer personalization.
What you'll do
- Lead end-to-end ML projects, including planning, feature engineering, training, deployment, backend implementation, and online experimentation.
- Support discovery and growth initiatives for new buyers, sellers, international markets, and small categories.
- Collaborate with engineering and ML teams to implement production solutions, establish best practices, and scale models.
What they ask for
- 4+ years of industry experience building and deploying ML models to solve user problems at scale.
- Track record of applying scientific methods to real-world problems using consumer-scale data.
- Advanced proficiency in Python, SQL, and common ML frameworks such as PyTorch and XGBoost.
- Experience in applied statistics, visualization tools, and communicating and influencing cross-functional teams.
Nice to have
- Experience building ML applications for Discovery and Personalization.
- Experience with backend development.
Pay
$180K - $300K (base salary; currency not stated)
Tools
Python, SQL, PyTorch, XGBoost
AI focus
Develop and productionize ML models for recommendations and personalization, including model training, deployment, and online experimentation.
Model-written summary · the original posting is authoritative