Senior Machine Learning Engineer

Babylist, Inc-posted 22 days ago
Full-time • Mid Level
Remote • Emeryville, CA
251-500 employees
Administrative and Support Services
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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.

  • Pioneer ML at Babylist: As our first dedicated ML Engineer, you'll shape the roadmap, practices, and culture for machine learning and personalization at scale - architecting the future of AI-powered experiences for a beloved consumer brand.
  • Own high-impact work end-to-end: Build and launch high-leverage personalization features from the ground up, not incremental improvements to legacy systems. You'll see immediate results through direct business impact and user engagement.
  • Lead both technically and strategically: Be the technical pioneer and strategic leader for ML at Babylist, embedded in a close-knit team building personalized product discovery
  • Collaborate across a strong data organization: Embedded in a close-knit team building personalized product discovery. Partner with data scientists, data engineers, and analytics engineers, leveraging Babylist's robust data infrastructure and resources to empower rapid model development.
  • A high-performing engineer with 6+ years of experience delivering end to end solutions that drive business growth
  • You have deep expertise in the Python ML ecosystem (pandas, sklearn, xgboost, PyTorch)
  • You have strong expertise creating custom embeddings from raw data sources; you have experience going beyond off-the-shelf image/text embeddings to develop domain-specific representations for ML models.
  • You have a proven track record building and delivering production-grade ML solutions, especially recommender systems or personalization features.
  • You have experience with the entire ML lifecycle, including workflow orchestration (Airflow) and model monitoring.
  • You have strong communication skills with technical and non-technical stakeholders
  • You demonstrate autonomy: you're able to define problem space, architect solutions from scratch (zero to one), and operate with ownership.
  • You have a background in consumer-facing products preferred; expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant.
  • Competitive pay and meaningful opportunities for career advancement
  • We believe technology and data can solve hard problems
  • We're committed to career progression and performance-based advancement
  • 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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