Senior Machine Learning Engineer, Babylist
CA$177.6-222k
+ Equity & Bonus opportunities
Online universal baby registry
Job no longer available
Online universal baby registry
1001+ employees
Job no longer available
CA$177.6-222k
+ Equity & Bonus opportunities
1001+ employees
Company mission
To help expecting parents get exactly what they need for the arrival of their new baby.
Role
Who you are
- You are excited to design, build, and optimize recommender systems that improve product and content discovery for millions of Babylist users
- You have hands-on experience taking machine learning models from prototype to scalable, production-ready deployments
- You thrive at the intersection of product, data, and engineering, and you enjoy identifying high-value personalization opportunities that drive measurable business impact
- You are comfortable working in a small, agile pod while also helping shape the broader ML strategy across the organization
- You take ownership of the full ML feature lifecycle—from framing problems with stakeholders to deployment, monitoring, and iteration
- You value robust, well-documented data sets and are excited to advance Babylist’s personalization infrastructure without heavy data-cleanup overhead
- You bring deep expertise in SQL and Python for machine learning applications.You have a proven track record of delivering production-grade ML solutions, ideally in recommender systems, personalization, or similar consumer-facing products
- You understand the ML lifecycle end-to-end: experimentation, validation, rollout, and monitoring
- You have experience with distributed training frameworks, workflow orchestration (e.g., Airflow), and model monitoring tools
- You bring relevant domain experience from consumer products such as e-commerce, dating apps, or platforms with complex user journeys
- You are highly autonomous, able to define problem spaces, architect solutions from zero to one, and operate with strong ownership
What the job involves
- 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 Manager of Data and Analytics Engineering, you’ll help define how advanced recommendations and AI power our platform
- Our Tech Stack:
- React
- Ruby on Rails
- AWS
- Sidekiq
- MySQL
- Redis
- Native iOS and Android
- Establish Babylist’s first machine learning function—defining the roadmap, practices, and long-term vision for personalization at scale
- Translate complex data into high-leverage personalization features that directly improve product discovery, user engagement, and business outcomes
- Accelerate experimentation and deployment by leveraging Babylist’s mature data infrastructure and close partnerships with analytics, engineering, and product leaders
- Deliver high-impact ML systems end-to-end, from design to production, with clear visibility into results for millions of users
- Shape Babylist’s ML culture by setting technical standards, mentoring peers, and influencing the organization’s broader AI strategy
Application process
- To support a fair and consistent hiring process, Babylist uses AI to transcribe all interviews
- Transcripts are confidential and used solely for evaluation purposes, in accordance with data privacy laws such as CCPA and GDPR. By applying, you acknowledge and consent to this use
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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