Jobs in Canada

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 19 mins ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model training…
Added 19 mins ago
1
Founding Enterprise Account Executive (Outbound & Growth) - Novilo
15Rock
Toronto, ON
- Full-time
…purpose-built for pre-tender discovery, RFP intelligence, and proposal automation. Our engine combines live tender radar, deterministic compliance cross-referencing, shadow scorecard…
Added 19 mins ago
O
Lead Principal Platform Software Engineer
Oracle
Toronto, ON
- $123,900 to $203,600 CAD / year
Acts as subject matter expert to drive improvements, ensures automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability.
Added 1 hour ago
A
Automation Project Engineer
ABB
Calgary, AB
- Full-time
The work model for the role is hybrid, with 3 days per week at the office
Added 1 hour ago
A
Ingénieur En Fiabilité/ Site Reliability Engineer
Actalent
Montreal, QC
- $60 to $85 CAD / hour
- Contract
Vous travaillez principalement sur site trois jours par semaine dans une installation moderne et récemment construite
Added 1 hour ago
A
Automation Project Engineer
ABB
Oakville, ON
- Full-time
The work model for the role is hybrid, with 3 days per week at the office
Added 2 hours ago
IS
DevOps & Cloud Infrastructure Engineer
Idealogical Systems Inc
Markham, ON
- Full-time
LogicalDox is a growing technology company seeking an experienced DevOps & Cloud Infrastructure Engineer to own our cloud infrastructure, deployment pipelines, automation, and operational…
Added 2 hours ago
GC
DevOps Engineer - Game Developer Experience
Game Companies
Vancouver, BC
- Full-time
Automate and scale service deployments and workflow automation.
Added 2 hours ago
A
Senior Software Developer
Autodesk
Toronto, ON
- Full-time
Comprehensive technical knowledge and experience in software development methodologies, design, implementation, automation tests and deployment.
Added 3 hours ago
SM
RQ11860 – Database Administrator – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 3 hours ago
MC
AI & Automation Developer
Morgan Construction and Environmental Ltd.
AB · Edmonton, AB
- Full-time
At Morgan, we don’t just build projects, we build careers and futures! Join us as an AI & AUTOMATION DEVELOPER and play a pivotal role in our dynamic world of heavy civil construction!
Added 3 hours ago
O
Lead Principal Core Infrastructure Engineer
Oracle
Toronto, ON
- $123,900 to $203,600 CAD / year
- Full-time
…drives remediation and compliance, and delivers enterprise‑level automation (IaC) and change strategies enabling safe, automated patching, updates, and…
Added 4 hours ago
H
Business Sustainment Production Engineer
HSBC
Toronto, ON
- Full-time
…end operational risk is reduced through better monitoring and automation and production health is clearly understood and evidenced. Over time you’ll shift effort from reactive response to…
Added 4 hours ago
GC
Senior DevOps Engineer - EA Sports Technology
Game Companies
Vancouver, BC
- Full-time
The DevOps team is looking for an experienced DevOps Engineer to join our team. We’re looking for candidates with experience designing, deploying, and operating solutions in a public cloud…
Added 4 hours ago
GC
Senior Software Engineer
Game Companies
Vancouver, BC
- Full-time
We are seeking an experienced Senior Software Engineer to join our Service Enablement organization as a technical leader and change-maker. In this role, you will lead a team of software…
Added 4 hours ago
GC
Advanced DevOps Engineer - EA Sports Technology
Game Companies
Vancouver, BC
- Full-time
The EA SPORTS™ Technical Team is seeking an experienced DevOps Engineer to join the organization. This role is ideal for someone with a strong passion for technology and deep experience…
Added 4 hours ago
T
Senior Fullstack Engineer
Terminal
Canada
- Contract
As a Senior Software Engineer, you will employ your technical expertise to help your team implement new features, refactor key parts of the codebase, and improve the overall quality of the…
Added 4 hours ago
T
Senior Software Engineer, Integration Suite
Trener
Remote, Canada
- Full-time
- Remote
…and deploy robotic work cells. We're looking for a software engineer who enjoys building software that solves real-world engineering…
Added 4 hours ago
SE
Senior Engineer I, Offer Quality
Schneider Electric
Richmond, BC
- $91,200 to $136,800 CAD / year
- Full-time
Added 5 hours ago
AC
Software Engineer - SQL / C#
Amaris Consulting | Part of Mantu
Toronto, ON
- Full-time
Amaris Consulting is looking for a Software Engineer with strong SQL and C# expertise to join a product engineering team working on data-intensive .NET web applications.
Added 5 hours ago
KT
Account Executive – B2B Technology Solutions
KSPACE TECHNOLOGIES HQ
Remote, Canada
- $45,000 to $55,000 CAD / year
- Full-time
- Remote
Added 6 hours ago
IG
Full Stack Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are seeking a highly skilled Senior Backend Engineer with strong expertise in modern backend development technologies and frameworks. The ideal candidate will have extensive experience…
Added 6 hours ago
A
Senior Software Applications Developer
Autodesk
Toronto, ON
- Full-time
We are seeking a motivated and skilled DevOps Engineer to administer, manage, automate, and optimize our JFrog Artifactory platform running on Kubernetes, along with GitHub Enterprise and…
Added 6 hours ago
T
Senior Manager, Engineering
TD
Toronto, ON
- Full-time
Lead a team of engineers to design, engineer, and coordinate execution of IAM related components for new service delivery, platform enablement & enhancements, and cloud migrations on our…
Added 6 hours ago
AI
Senior Managed File Transfer Engineer (Messageway, Seeburger, SFTP, FTPS, Automation, Linux/Windows)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Managed File Transfer (MFT) Administrator | MessageWay | Seeburger | SFTP | FTPS | File Transfer Automation

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 11, 2026
Posting language: English
Posted: Nov 11, 2026

Original job description

Requirements

Description & Requirements

Who we are

lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.

About This Team

The Enterprise Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon’s vertically integrated retail ecosystem, embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency.

Core Responsibilities

As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model training through evaluation, deployment, and production monitoring. You will contribute to meaningful technical decisions on model architecture, training strategies, and serving infrastructure, working with minimal supervision to deliver reliable, high-quality AI capabilities aligned to business objectives. You will collaborate closely with research scientists, data scientists, and product engineers to translate model innovations into scalable production systems, and begin to develop mentorship and knowledge-sharing habits within the team.

Select Responsibilities Include

Design and implement end-to-end AI/ML systems covering dataset curation, feature engineering, model training, hyperparameter optimization, evaluation, deployment, and retraining
Apply appropriate model architectures, training strategies, and optimization techniques for given tasks including classification, regression, ranking, generation, and retrieval
Build and maintain scalable model training pipelines using distributed training frameworks (PyTorch Distributed, Horovod, Ray Train) and cloud ML platforms (SageMaker, Vertex AI, Azure ML)
Deploy models to production using CI/CD automation including A/B testing, canary rollouts, shadow deployment, and automated rollback procedures
Contribute to implementation of model serving infrastructure meeting latency, throughput, and cost requirements using serving frameworks (TorchServe, Triton, BentoML, or equivalent)

Qualifications

Bachelor's degree in Computer Science, Machine Learning, Statistics, or related technical field, or equivalent experience; Master's degree in ML or AI beneficial
4-8 years of AI/ML engineering experience designing and owning end-to-end ML systems including model training, evaluation, and production deployment, or equivalent, which includes educational experience (e.g., Master's degree)
Proven ability to design and implement production-grade AI/ML application components applying best-practice software engineering including CI/CD integration, automated testing, and service reliability patterns
Demonstrated experience with independently design model training strategies including architecture selection, optimization approach, and evaluation methodology aligned to business requirements
Demonstrated experience owning full model deployment lifecycle including CI/CD automation, canary releases, A/B testing, and automated rollback
Demonstrated ability to define ML Ops platform standards and reusable deployment templates adopted across the domain
Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms

Must haves

Acknowledge the presence of choice in every moment and take personal responsibility for your life.
Possess an entrepreneurial spirit and continuously innovate to achieve great results.
Communicate with honesty and kindness and create the space for others to do the same.
Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
Foster connection by putting people first and building trusting relationships.
Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.

Additional Notes

Authorization to work in Canada is required for this role

Compensation And Benefits Package

lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $127,140-$166,870 annually ; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program and equity offerings, subject to program eligibility requirements.  

At Lululemon, Investing In Our People Is a Top Priority. We Believe That When Life Works, Work Works. We Strive To Be The Place Where Inclusive Leaders Come To Develop And Enable All To Be Well. Recognizing Our Teams For Their Performance And Dedication, Other Components Of Our Total Rewards Offerings Include Support Of Career Development, Wellbeing, And Personal Growth

Extended health and dental benefits, and mental health plans
Paid time off
Savings and retirement plan matching
Generous employee discount
Fitness & yoga classes
Parenthood top-up
Extensive catalog of development course offerings
People networks, mentorship programs, and leadership series (to name a few)

Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

workplace arrangement

In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design and implement end-to-end AI/ML systems, including data preparation, feature engineering, model training and evaluation, deployment, and production monitoring. Build scalable training and serving infrastructure, apply deployment practices such as A/B testing and canary releases, and collaborate with research, data science, and product teams to deliver reliable AI capabilities.

Requirements

Requires a bachelor's degree in a relevant technical field or equivalent experience; a master's degree in ML or AI is beneficial. Candidates should have 4–8 years of AI/ML engineering experience and demonstrate production ML system ownership, model training strategy, deployment automation, software engineering practices, and experience with common ML tools and cloud platforms.

Skills

Python
Spark
Airflow
MLflow
PyTorch Distributed
Horovod
Ray Train
Amazon SageMaker
Vertex AI
Azure Machine Learning
TorchServe
NVIDIA Triton
BentoML
Feature Engineering
Distributed Training
MLOps

Benefits

Annual Bonus
Equity Offerings
Career Development
Extended Health Benefits
Dental Benefits
Mental Health Plans
Paid Time Off
Savings And Retirement Plan Matching
Employee Discount
Fitness And Yoga Classes
Parenthood Top-Up
Development Courses
Mentorship Programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
End-To-End ML Systems
Dataset Curation
Feature Engineering
Model Training
Hyperparameter Optimization
Model Evaluation
Model Deployment
Production Monitoring
Classification
Regression
Ranking
Generative Models
Retrieval
Distributed Training
CI/CD
A/B Testing
Canary Releases
Shadow Deployment
Automated Rollback
Model Serving
Latency Optimization
Throughput Optimization
Cost Optimization
Cloud ML Platforms
MLOps Standards
Automated Testing
Service Reliability
Data Governance

Report this job

Work requirements

Jobs in Canada