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Babylist Logo Babylist · IT - Software Development

Senior Machine Learning Engineer

United States; Canada 189900.00 - 237400.00 USD / Year · Job Posted December 06, 2025
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Job Description

As Babylist’s Senior Machine Learning Engineer, you’ll be the founding expert driving the next era of our machine learning and personalization efforts. This high-impact position is designed for a hands-on engineer—someone who builds, iterates, and productionalizes ML solutions that directly improve user experience and business outcomes. You’ll lead technical development within a focused product pod (Product Manager, Software Engineer, occasional Designer), architecting the models behind our homepage feed, “add next” experience, and more. Reporting to our Senior Director, BI & Data Engineering, you’ll help define how advanced recommendations and AI power our platform.

Job Responsibility

  • Pioneer ML at Babylist: shape the roadmap, practices, and culture for machine learning and personalization at scale
  • Own high-impact work end-to-end: build and launch high-leverage personalization features from the ground up
  • Lead both technically and strategically: be the technical pioneer and strategic leader for ML at Babylist
  • Collaborate across a strong data organization: partner with data scientists, data engineers, and analytics engineers

Requirements

  • 6+ years of experience delivering end to end solutions that drive business growth
  • Deep expertise in the Python ML ecosystem (pandas, sklearn, xgboost, PyTorch)
  • Strong expertise creating custom embeddings from raw data sources
  • Experience going beyond off-the-shelf image/text embeddings to develop domain-specific representations for ML models
  • Proven track record building and delivering production-grade ML solutions, especially recommender systems or personalization features
  • Experience with the entire ML lifecycle, including workflow orchestration (Airflow) and model monitoring
  • Strong communication skills with technical and non-technical stakeholders
  • Background in consumer-facing products preferred
  • Expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant
  • Demonstrate autonomy: able to define problem space, architect solutions from scratch (zero to one), and operate with ownership

Nice to have

  • Background in consumer-facing products
  • Expertise with e-commerce, dating apps, or complex user journey platforms

What we offer

  • Competitive salary with equity and bonus opportunities
  • Company-paid medical, dental, and vision insurance
  • Retirement savings plan with company matching and flexible spending accounts
  • Generous paid parental leave and PTO
  • Remote work stipend to set up your office
  • Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
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