Machine Learning Engineer, Buyer Growth at WhatNot

Candidates must possess 8+ years of industry experience in building and deploying ML systems at scale, with demonstrated success in leading end-to-end ML projects that drove measurable business outcomes. Deep expertise in personalization, ranking, or user modeling, along with strong intuition around user behavior in consumer products, is required. Advanced proficiency in Python, SQL, and common ML frameworks like PyTorch, TensorFlow, or XGBoost is essential. Strong communication and leadership skills are necessary to influence roadmaps and align cross-functional teams. Prior experience building ML applications in E-commerce or Social products, and experience in growth domains such as user segmentation, retention modeling, large-scale recommendation systems, or notification ranking are preferred qualifications. Team members are required to be within commuting distance of Los Angeles, San Francisco, Seattle, or New York hubs.