Jobs in Canada

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Added 8 hours ago
RB
Senior Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
As Senior Full Stack Engineer in AI Engineering within US Functions Technology you will be a hands-on contributor helping modernize how US corporate functions build and run their…
Added 10 hours ago
EL
AI/Machine Learning Experience Engineer
Equinix LLC
Toronto, ON
- Full-time
- Hybrid
1-4 years in front-end, full-stack, design engineering, UX engineering or AI/ML engineering
Added 10 hours ago
P
Senior Software Engineer, AI
Pebl
Toronto, ON
- $122,835 to $180,000 CAD / year
- Full-time
- Hybrid
Our values guide how we operate, execute, and collaborate across borders
Added 10 hours ago
AI
Principal Software Development Engineer
AMD, Inc.
Vancouver, BC
- Full-time
PMTS Software Development Engineer THE ROLE AMD is seeking a Principal Member of Technical Staff (PMTS) Software Development Engineer to join AMD Silo AI and drive the technical development…
Added 10 hours ago
Staff Applied AI Engineer - Kalepa for Underwriting
Kalepa
Canada
We are looking for a Staff Applied AI Engineer to set the technical direction for how Kalepa turns unstructured insurance data into structured, explainable facts at scale. Kalepa's platform…
Added 10 hours ago
Software Development Engineer
GoDaddy
Canada
As a Software Engineer, you'll work across the artificial intelligence stack, developing intelligent applications, application programming interfaces, and user experiences that transform…
Added 10 hours ago
P
Senior Full Stack Software Engineer
Provision
Toronto, ON
- Hybrid
We are hiring two Senior Full Stack Software Engineers to independently own consequential product and technical work across the stack. You will turn ambiguous customer problems into…
Added 10 hours ago
D
Senior Full Stack Engineer
Diagram
Canada
- Full-time
- Hybrid
We’re hiring a Senior Full Stack Engineer to our AI team at Sagard to design, build, and evolve the internal products and platform capabilities that underpin decision‑making and operations.
Added 10 hours ago
Forward Deployed AI Engineer
Groom & Associates
Montréal, QC
As a Forward Deployed Engineer, you act as the technical lead and primary engineering contact for retail clients:
Added 10 hours ago
Senior Software Developer, Google Cloud
Google
Waterloo, ON
…qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology…
Added 10 hours ago
AF
Solutions Architect
Ascendance Foundry
Toronto, ON
- Full-time
- Hybrid
1–5 years in a technical role such as Solutions Architect, Forward-Deployed Engineer, Data/AI Consultant, Full-Stack Engineer, or similar.
Added 10 hours ago
HA
Full Stack Software Engineer
HeyMilo AI
Toronto, ON
- $120,000 to $200,000 USD / year
- Full-time
- Hybrid
We're looking for a Senior Full-Stack Engineer who thrives in a fast-paced, highly dynamic environment. This role is all about quickly building and iterating on features, and working…
Added 10 hours ago
RC
Senior Data Science Developer
Randstad Canada
Toronto, ON
- Contract
Modern Agentic & GenAI Stack: Hands-on development utilizing LLMs, RAG, agentic AI, and Azure AI Foundry.
Added 10 hours ago
Senior Software Engineer
Third-Party Job Posts
Canada
As a 𝗦𝗲𝗻𝗶𝗼𝗿 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 on the Core AI Squad, you'll design, build, and operate customer-facing AI platform capabilities that power intelligent product…
Added 10 hours ago
E
EverPro - Senior Web Engineer
Evercommerce
ON
- $120,000 to $150,000 CAD / year
- Full-time
Some backend or full-stack development experience
Added 10 hours ago
Staff Software Engineer, Search
Babylist
Canada
We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making…
Added 10 hours ago
M
Product Engineer
Mash
Toronto, ON
- Full-time
Mash is the AI assistant for the people in your life, your to-dos, and everything you want to remember. As a Product Engineer, you will own user-facing product features end to end. You will…
Added 10 hours ago
WI
Senior AI Engineer
Workday, Inc.
Vancouver, BC
- Full-time
- Hybrid
…teams that bring together product leaders, AI engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI - deeply…
Added 10 hours ago
C
Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium
Capgemini
Toronto, ON
- $72,056 to $138,940 CAD / year
…engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the…
Added 10 hours ago
R&D Engineering, Sr Staff Engineer
Synopsys
Nepean, ON
Drive architecture across the full stack (front-end, back-end, databases, cloud), ensuring scalability, reliability, security, and maintainability.
Added 10 hours ago
S
Senior AI Security Automation Engineer
SSB&T
Toronto, ON
- $120,000 to $202,500 CAD / year
- Full-time
…Artificial Intelligence, Cybersecurity, Data Engineering, and Full-Stack Software Development, with a primary focus on enabling secure, scalable, and governed AI adoption across the…
Added 10 hours ago
Staff Backend Software Engineer - Kalepa for Operations
Kalepa
Canada
We are looking for engineers who enjoy going deep on hard problems and owning end-to-end outcomes. As a Staff Backend Engineer, you'll work at the intersection of AI and backend engineering…
Added 10 hours ago
Staff Backend Software Engineer - Kalepa for IT
Kalepa
Canada
We are looking for engineers who enjoy going deep on hard problems and owning end-to-end outcomes. As a Staff Backend Engineer, you'll work at the intersection of AI and backend engineering…
Added 10 hours ago
Senior Backend Software Engineer - Kalepa for IT
Kalepa
Canada
…insurers rely on for high-stakes decisions. As a Senior Backend Engineer, you'll own strategically important, complex pieces of that system with minimal oversight: the services, data…
Added 10 hours ago
Senior Backend Software Engineer - Kalepa for Operations
Kalepa
Canada
…insurers rely on for high-stakes decisions. As a Senior Backend Engineer, you'll own strategically important, complex pieces of that system with minimal oversight: the services, data…

Babylist

Staff Software Engineer, Search

Canada

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 2, 2026

Original job description

What the Role Is

We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful.

Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce.

This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience.

If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on.

What You'll Own

A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team.

A few examples of initiatives you’d drive on the Search team:

Build search in-house. Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below.
Define what a good result is. Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect.
Unify search across everything we show. One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do.
Decide how search and recommendations fit together. Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models.
Make search conversational. Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product.

Like every Staff Engineer here, you will:

Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers.
Build the platform or tooling other teams adopt by choice, and own it as it scales.
Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships.
Partner with product, design and data as a peer, shaping what's worth building from the start.
Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones

Who You Are

You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck.

On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring:

Hands-on search experience: building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow.
Experience evaluating search quality: offline and online, including relevance judgments and A/B tests.
A focus on the user: you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue.
Comfort building from zero: you can define the problem, design the system and own it end to end.
You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on.

Compensation

We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 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.

How We Build

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. Agents also triage incidents and handle a big share of support. A human always owns the outcome.

The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. 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.

The Stack

Core app: 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: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations: Shopify (payments), Iterable (CRM)

Why Babylist

An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.

Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.

How We Work

Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. 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.

How We Hire

Three rounds, usually two to three weeks start to finish.

Recruiter conversation (30 minutes). 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. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.

Benefits

Company-paid medical and fully covered dental and vision
A 401(k) match
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
Mental-health and wellness support

A Few Things to Know

We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
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.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

The Staff Software Engineer at Babylist will lead the technical direction of a new search system, choosing its architecture and deciding how results are ranked and measured. They will also work across teams on search and recommendations, and bring conversational search to the product.

Requirements

Candidates need several years of production software experience and hands-on search experience, including indexing, retrieval, ranking and query understanding. They should be able to evaluate search quality offline and online, and to build a system from zero and own it end to end.

Skills

Ruby on Rails
React
TypeScript
MySQL
Weaviate
Snowflake
dbt
Airflow
AWS SageMaker
MLflow
Kubernetes
Terraform
Datadog
Search architecture
Indexing and retrieval
Learning to rank
Relevance evaluation
A/B testing
Query understanding
Recommendation systems
LLM integration
Eval harness design
Technical leadership
System design

Benefits

Medical coverage
401(k) match
Paid parental leave
Winter week off
Remote-work stipend
Mental-health support

Keywords

staff software engineer
search engineer
search relevance
ranking
query understanding
information retrieval
e-commerce search
personalization
recommendation systems
machine learning engineering
A/B testing
LLM
conversational search
technical lead
remote
Canada

Seniority

Senior

Perks

Parental leave
Retirement plan
Wellness program
Remote work allowance

Tools

Rails
React
MySQL
Weaviate
Snowflake
Airflow
AWS SageMaker
Datadog
Kubernetes
Terraform

Languages

English

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Work requirements

Jobs in Canada