Lead Machine Learning Engineer
Launch PotatoFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Babylist is a remote-first company, with team members located across the U.S. and Canada, meeting in person twice a year once as a company and once by department.
This information is not specified in the job description.
Candidates need hands-on experience taking machine learning models from prototype to production, expertise in designing and optimizing recommender systems, and the ability to lead the full ML feature lifecycle including deployment, monitoring, and iteration.
You'll work in a small, agile product pod consisting of a Product Manager, Software Engineer, and occasional Designer, while reporting to the Senior Manager of Data and Analytics Engineering.
Strong candidates thrive at the intersection of product, data, and engineering, enjoy identifying high-value personalization opportunities, are comfortable in small agile pods while shaping broader ML strategy, and value robust data sets.
Comprehensive baby registry platform for parents
Babylist provides a universal baby registry platform that allows expecting and new parents to compile baby products from any store, including popular retailers like Amazon, Target, and Etsy. The platform features an interactive checklist and expert-vetted guides to assist parents in making informed choices about baby gear and essentials. Babylist differentiates itself from competitors by offering a comprehensive solution that combines affiliate marketing, direct sales, and curated product recommendations, generating revenue through affiliate commissions, exclusive curated kits, and advertising partnerships. The company's goal is to simplify the baby registry process for parents, ensuring they have all the necessary items for their growing families while enhancing user engagement with offerings like a free box of goodies for new registrants.