Senior Machine Learning Engineer Job at Babylist

Senior Machine Learning Engineer

Babylist

Location:
United States; Canada

Category:
IT - Software Development

Contract Type:
Not provided

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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