Jobs in Canada

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Staff Device Program Manager
Arlo Technologies, Inc.
Richmond, BC
- $130,000 to $175,000 CAD / year
- Full-time
The primary function of the DPM (Device Program Manager) at Arlo is to manage the project from kick off to mass production. The development process includes scheduling, ODM engaging, BOM…
Added 1 day ago
PI
Senior Transit Project Manager
Parsons Inc.
Markham, ON
- Full-time
- On-site
Parsons has an immediate opening for a Senior Project Manager within our Rail and Transit division. In this role you will be responsible for the scope development, scope management and…
Added 1 day ago
PI
Technical Manager - Municipal Roads & Civil Engineering
Parsons Inc.
Oakville, ON · Markham, ON · Toronto, ON
- Full-time
- On-site
…cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s…
Added 1 day ago
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Key Accounts Manager
IPEX Management Inc.
Canada
- $93,000 to $116,300 CAD / year
- Full-time
HomeRite Division | Remote Sales, Ontario | Full-Time | Permanent
Added 1 day ago
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Captain and Operations Manager
Onni Airways Management Services Ltd
Vancouver, BC
- Full-time
We are seeking a highly skilled and safety-driven Captain and Operations Manager to join our team in a dynamic and hands-on aviation environment. environment. This is more than a flying…
Added 1 day ago
PA
Named Account Manager
Palo Alto Networks (Canada) Inc.
Toronto, ON
- Full-time
The Named Account Manager partners with our customers to secure their entire digital experience. You’re motivated by the desire to solve critical challenges facing our customer’s secure…
Added 1 day ago
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Senior Program Manager - New Nuclear (Coming Soon!)
Nuclear Promise X
ON
- $160,000 to $200,000 CAD / year
- Full-time
- Hybrid
As a Senior Program Manager at NPX, you'll build the strategy behind how new nuclear programs are structured and lead the planning, coordination, and delivery of those programs from early…
Added 1 day ago
Accounting Operations Manager
Hatch
Canada
…specialized external partners. We are looking for an Accounting Manager, Operations & Transformation to serve as a critical partner to our Financial Controller and help build the next…
Added 1 day ago
Senior Software Developer, Growth
7shifts
Toronto, ON
Health and Wellness: We support Shifties in and outside of work, knowing that what people need can change over time. From day one, you’ll have access to benefits like health and dental,…
Added 1 day ago
Senior Data Analyst, GTM Operations
7shifts
Saskatoon, SK
…partner to our Go-to-Market and Finance teams. Reporting to our Manager, Data & Analytics, you’ll work alongside analysts, data engineers, and analytics engineers, partnering closely with…
Added 1 day ago
AI Delivery Engineer, Developer Experience
7shifts
Toronto, ON
…easy-to-use app and industry-specific solutions, 7shifts saves time, reduces errors, and helps keep costs in check for over 55,000 restaurants. Our mission is to simplify team management…
Added 1 day ago
Staff Machine Learning Engineer
Babylist
Canada
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go…
Added 1 day ago
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Enterprise Customer Activation Manager | Bill Pay & Procurement
Ramp
Canada
- $115,000 to $212,500 USD / year
- Full-time
- Hybrid
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
Added 1 day ago
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Directeur Régional, Origination Bilingue / Bilingual Regional Director, Origination
EQ Bank | Canada's Challenger Bank
Montréal, QC
- Full-time
- Hybrid
Added 1 day ago
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Senior Program Manager, Trucking
Waabi
Canada
- $140,000 to $180,000 USD / year
- Full-time
- Hybrid
We are hiring a Senior Program Manager to own and align the single integrated commercialization plan, ensuring every element converges seamlessly.
Added 1 day ago
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Operations Manager (British Columbia)
Second Harvest
BC
- $70,000 to $77,500 CAD / year
Must have valid driver’s license and access to a reliable vehicle for travel within BC
Added 1 day ago
Senior Growth Manager - Generosity & Flowthrough
Fanatics Betting & Gaming
Toronto, ON
…integrated ecosystem - connected by the Fanatics ONE loyalty program and FanCash, the currency of sport - delivering personalized experiences to over 100 million fans worldwide. Fanatics…
Added 1 day ago
Staff Product Manager (Measurement)
StackAdapt
Canada
Take full ownership of product features, guiding them from initial concept through to successful completion.
Added 1 day ago
Senior Product Manager (Creatives)
StackAdapt
Canada
…ready-made templates or build from scratch. By delivering a robust, full-featured in-house solution, we reduce our clients' reliance on costly third-party creative providers and empower…
Added 1 day ago
Manager, IT Audit
StackAdapt
Canada
Active CISA (Certified Information Systems Auditor) certification required
Added 1 day ago
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Technical Program Manager, AI Delivery
Cohere
Canada
- $175,000 to $220,000 USD / year
- Full-time
- On-site
We’re seeking an experienced Technical Program Manager to join Cohere’s customer-facing Engineering Program Management team. We need someone with curiosity, drive, independence, and…
Added 1 day ago
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Food Clerk- 13th Avenue Food Store
Co-op
Medicine Hat, AB
- Full-time
Reporting to the Grocery Manager, the Food Clerk plays an important role in delivering excellent customer service and ensuring a clean, organized, and well-stocked store environment. This…
Added 1 day ago
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Nurse Practitioner
HealthCareersInSask.ca
Weyburn, SK
- Full-time
…The position will report to and work under the direction of a manager in one of the designated program areas. Practicing within Saskatchewan Health Authority policies, CRNS standards, and…
Added 1 day ago
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Project Coordinator - Lifestyle
Gensler
Toronto, ON
- Full-time
Liaise between In-House Counsel, Design Manager and Project Accountant to incorporate comments into draft contract and ensure contract fee is up to date.
Added 1 day ago
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Project Coordinator - Cities
Gensler
Toronto, ON
- Full-time
Liaise between In-House Counsel, Design Manager and Project Accountant to incorporate comments into draft contract and ensure contract fee is up to date.

Babylist

Staff Machine Learning Engineer

Canada

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 2, 2026

Original job description

What The Role Is

We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience - the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.

Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.

We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.

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 personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.

If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.

What You'll Own

You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:

Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.

In practice, you will:

Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.

Who You Are

You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well - you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.

You bring:

Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.

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 a 401(k) 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.

If your timeline is tight, tell us and we'll move faster.

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 Machine Learning Engineer at Babylist will lead personalization work, taking ideas from first sketch to a live model and checking whether it moved the business metric. They will set the modeling direction across product pages, the feed, search and Addie, and coach other engineers.

Requirements

Candidates need experience shipping recommendation or personalization systems at scale in a consumer product, with strong recommender fundamentals such as candidate generation, ranking and cold start. They should be fluent in Python ML tooling, own models through deployment and monitoring, and connect model changes to conversion or revenue.

Skills

Recommender systems
Candidate generation
Ranking models
Offline evaluation
Online evaluation
A/B testing
Cold start
Position bias
Popularity bias
Python
Machine learning
Deep learning
Matrix factorization
AWS SageMaker
MLflow
Model deployment
Model monitoring
Search relevance
Rails
SQL
Snowflake
AI-assisted coding

Benefits

Company-paid medical insurance
Dental and vision coverage
401(k) match
Paid parental leave
Gradual return-to-work program
Paid company-wide week off
Remote-work stipend
Mental-health and wellness support
Equity
Annual bonus target

Keywords

machine learning engineer
recommendation systems
personalization
retrieval
ranking
candidate generation
reranking
matrix factorization
deep learning
A/B testing
Python
AWS SageMaker
MLflow
e-commerce
consumer products
staff engineer
remote

Seniority

Senior

Perks

Parental leave
Retirement plan
Performance bonus
Stock or equity
Wellness program
Remote work allowance

Tools

Python
AWS SageMaker
MLflow
Snowflake
Rails
MySQL
Airflow
dbt

Languages

English

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Work requirements

Jobs in Canada