Senior Software Engineer, Machine Learning - Remote

As a Senior Engineer at Babylist, you take on hard problems and own them end-to-end. So the hard part is yours: what to build, how it should work and whether what shipped was right. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. Senior here means owning whole problems; A Senior Engineer here owns problems, not just features. You're handed an outcome, you decide what to build, ship it and own whether it worked. Frame the problem with your PM as a peer, run the experiment and bring customer evidence into what gets built.

Manage up with crisp choices: raise the risks early and protect the right tradeoffs.

Share what you're learning about AI openly, so the whole team gets sharper.

Deciding what the registry recommends to each family, from the ranking to the model behind it, and proving in a live experiment that it actually helps.

Building the evals system that catches our AI support agent making things up before a customer does.

Making a child's info one source of truth instead of five disconnected flows, so parents set it up once and new products like Early Investor build on it.

You've been shipping production systems for years, and you've got the judgment to show for it. The strongest Senior engineers here are generalists, and usually the most prolific builders on their team. You go wherever the problem leads: a backend service one week, a stubborn frontend bug the next, the data pipeline after that. Range is the Senior signature.

For a Canada-based Senior Engineer, the starting base salary range is $255,900 to $318,600 CAD, plus a target annual bonus of 15 percent of base. That's total target cash of roughly $294,285 to $366,390 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.

AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.

Rails, Packwerk, React, TypeScript, Sidekiq

Mobile: iOS (Swift), Android (Kotlin)

Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma

Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow

AI & dev tooling: Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.Shopify (payments), Iterable (CRM)

An engineer, expecting her first baby, couldn't find the registry she wanted. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.

Remote-first across the US and Canada, and we have been for years. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.

Trade context: what you want next, what we're building and straight answers on comp, team and remote.

# Technical screen (1 hour). One round, no AI, language-agnostic. Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. Company-paid medical and fully covered dental and vision

Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program

Winter Wonder Week, a paid company-wide week off at the end of the year

A remote-work stipend

We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.

Official outreach only ever comes from an @babylist.