What you'll do
- Lead and grow a high-performing machine learning and personalization team focused on product recommendations, search, and site monetization.
- Own and drive high-impact ML initiatives that enhance discovery, engagement, and revenue across key user surfaces.
- Set the technical and algorithmic direction for ML systems, balancing experimentation with scalable execution.
- Be a hands-on leader by reviewing code, building proof-of-concept models, and conducting data science research.
- Collaborate cross-functionally with Product, Design, Analytics, and Data teams to translate business problems into clear technical solutions.
What you should know
- This role offers the opportunity to lead and scale a multidisciplinary ML team in a consumer-facing, e-commerce environment.
- Candidates should be comfortable working in an AI-forward environment where AI tools are embedded in workflows.
- The position requires a hands-on leadership style with a balance of technical fluency and people management.
- Applicants should expect to work on complex personalization systems impacting user experience and business metrics.
- Competitive compensation includes salary, equity, and comprehensive benefits, reflecting the company's commitment to career growth and well-being.
About the company
- Babylist is a leading registry and e-commerce platform serving over 9 million users annually in the baby product industry.
- The company operates a remote-first culture with HQ teams across the U.S. and Canada and biannual in-person meetings.
- Babylist emphasizes AI integration in daily operations to drive innovation and impact.
- They prioritize exceptional management, work-life balance, and meaningful product impact for families.
- With over $1 billion in annual GMV and $500 million projected revenue in 2024, Babylist is a well-established player reshaping a $320 billion market.
Key required skills
Pythonpandasscikit-learnxgboostPyTorchAirflowMachine LearningData ScienceML lifecycleProduction systems