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Babylist·United States, United States·onsite

Senior Engineering Manager, Machine Learing

Posted 1 month ago
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Ruby on RailsReact

About the role

What you'll do

  • Lead and grow a high-performing machine learning and personalization team focused on product recommendations, search, and monetization.
  • Own and drive technical direction for ML systems impacting user engagement and revenue across key product surfaces.
  • Manage a multidisciplinary pod including ML engineers, software engineers, product managers, and designers.
  • Be hands-on technically, reviewing designs, building prototypes, and conducting data science research to accelerate progress.
  • Collaborate cross-functionally with product, design, analytics, and data teams to translate business problems into ML solutions.

What you should know

  • This role offers the chance to build and shape the ML function at a high-growth consumer platform with real business impact.
  • Applicants should be ready to work in a fast-paced, AI-driven environment where experimentation and iteration are encouraged.
  • The position requires balancing technical leadership with hands-on coding and mentoring responsibilities.
  • Candidates will engage deeply with complex user journeys and e-commerce personalization challenges.
  • The company provides competitive compensation, equity, and comprehensive benefits, supporting career growth and work-life balance.

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 embraces a remote-first culture with team members across the U.S. and Canada, emphasizing fast, smart work with AI integrated daily.
  • Babylist is experiencing significant growth with over $1 billion in annual GMV and $500 million revenue projected for 2024.
  • The company values innovation in AI-driven software development, encouraging rapid iteration and learning from failure.
  • Babylist fosters a culture of focus, exceptional management, and meaningful impact on families during important life transitions.

Key required skills

PythonpandassklearnxgboostPyTorchAirflowMachine LearningData ScienceML lifecyclePersonalization

Summary generated from the original posting.