Staff Machine Learning Engineer, Babylist
$219-262.8k
Canada: $227,500 to $239,000 CAD + Equity and bonus opportunities
More information about location
Online universal baby registry
Open for applications
Online universal baby registry
1001+ employees
Open for applications
$219-262.8k
Canada: $227,500 to $239,000 CAD + Equity and bonus opportunities
More information about location
1001+ employees
Company mission
To help expecting parents get exactly what they need for the arrival of their new baby.
Role
Who you are
- A high-performing engineer with 10+ 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 have a background in consumer-facing products preferred; expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant
- You demonstrate autonomy: you're able to define problem space, architect solutions from scratch (zero to one), and operate with ownership
What the job involves
- As Babylist’s Staff 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
- 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
Application process
- During the interview process, we're evaluating your individual problem-solving skills, creativity, and approach to challenges. While AI tools like ChatGPT, Claude, and Cursor are part of your daily toolkit once you join Babylist, all interviews, assessments, and take-home assignments must be completed independently
- You may not use AI tools, third-party services, coaching platforms, or content-farming services during any part of the interview process unless we explicitly permit it. We will clearly communicate when AI tools are allowed for specific assessments
Our take
Since its 2011 launch, Babylist has grown into one of the most highly rated baby registries in the US. The difference it offers is that it allows users to include products from any store in their registries. On top of this, the company’s model also focuses heavily on creating informational content, which allows it to generate ad revenue while building customer loyalty.
Originally scaled with fairly low venture funding, Babylist claims half of new parents in the US now use its services. This, given that the baby products industry is worth close to $90 billion, shows the company's immense growth and speaks to the impact it has made in the space.
Babylist has seen strong funding in the past, which has fuelled projects such as the launch of virtual showrooms and further expanded the company's presence. The company acquired Expectful, a health and wellness tool, in 2023 with the long-term vision of combining the two companies into a larger health and wellness media property that can help people navigate all aspects of parenthood from fertility to diapers.
Steph
Company Specialist at Welcome to the Jungle
Insights
67% employee growth in 12 months
Company
Funding (1 round)
Nov 2021
$40m
SERIES C
Total funding: $40m
Company benefits
- HAPPIER WEEKENDS – We work to live, not live to work. That means we generally don’t work nights or weekends, and we offer 10 paid holidays throughout the year, in addition to your paid time off.
- PAID TIME OFF THAT WORKS FOR YOU – Life is unpredictable. Use your time off for what you need, whether that’s a vacation, family event or a day to unplug.
- PARENTAL LEAVE – We offer a flexible, 12-week paid parental leave policy.
- FLEXIBLE BENEFITS – Choose from benefits that support your working style, whether that's remote, in the office or something in between.
- HEALTH & WELLNESS – Wellness benefits include 100% paid coverage for medical, vision and dental for full-time employees.
- BABYLIST STORE DISCOUNT – All full-time employees receive a generous Babylist Store discount.
Company HQ
Emeryville, CA
Leadership
Natalie Gordon
(Founder & CEO)Former Software Engineer at Amazon. Initially founded Babylist as a side project and has since taken the company to a market leading status.
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