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Senior Machine Learning Engineer

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Babylist

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Location:
United States; Canada

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

189900.00 - 237400.00 USD / Year
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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

Additional Information:

Job Posted:
December 06, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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