Jobs in Canada

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Added 31 mins ago
AF
HR Generalist
Armstrong Fluid Technology
Toronto, ON
- Full-time
Identify critical technical capabilities required to support Armstrong's future growth and product portfolio.
Added 1 hour ago
MM
Manufacturing Engineer
Modine Manufacturing Company
Calgary, AB
- Full-time
…innovation. Joining Modine means unlocking meaningful career growth, continuous development, and high-impact…
Added 4 hours ago
MH
Sr. Full Stack Software Engineer (Backend - AI products)
MedMe Health
Remote, Canada
- $116,000 to $156,000 CAD / year
- Full-time
- Remote
We're at an exciting point: agentic automation is moving from prototype to production, and we need a senior engineer who can own high-impact work end-to-end. You'll turn ambiguous goals…
Added 4 hours ago
MH
Sr. Full Stack Software Engineer (Backend - AI products)
MedMe Health
Toronto, ON
- $116,000 to $156,000 CAD / year
- Full-time
We're at an exciting point: agentic automation is moving from prototype to production, and we need a senior engineer who can own high-impact work end-to-end. You'll turn ambiguous goals…
Added 4 hours ago
AM
Civil Project Engineer (Municipal)
Aplin Martin
Vancouver, BC
- Full-time
The Project Engineer primarily serves as the Engineer-of-Record on projects they are assigned. On some projects they may perform a role the role of project leader and on and others while on…
Added 4 hours ago
PT
Sales Development Representative
Procore Technologies
Toronto, ON · CA - Ontario - Toronto
- Full-time
…new business opportunities and accelerate Procore’s customer growth across the construction industry. As the Sales Development Representative on our Sales Development team, you will work…
Added 5 hours ago
S
Client Technology Manager - Enterprise AI Solutions
SaskTel
Regina, SK
- Full-time
…an opportunity to progress to higher salary bands. Title of Engineer / Client Technology Manager will be determined based on qualifications of successful candidate - see qualification…
Added 6 hours ago
C
Associate, Trade Finance - Global Transaction Banking
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 6 hours ago
Data Strategy & Data Enabled Solutions - Senior Manager or Associate Director
EY
Toronto, ON
…will leverage CTTG development and delivery resources to help engineer, productionize, and scale solutions where…
Added 6 hours ago
MC
Network Engineer (35135)
Myticas Consulting
Ottawa, ON
- Full-time
The Network Service Engineer will work closely with Commercial, Product, Sales Engineering, Customers, Network Engineering, and external contractor teams to provide technical guidance on…
Added 6 hours ago
OM
Hardware Engineering - Sr. Mechanical Engineer - P4
OSI Maritime Systems
Burnaby, BC
- Full-time
The Senior Mechanical Engineer is part of the engineering team that develops marine navigation and bridge systems for OSI’s government and naval markets that offer market leading…
Added 6 hours ago
S
Senior Process Engineer
Sedgman
Vancouver, BC
- Full-time
The Senior Process Engineer will provide process engineering support to Sedgman’s clients at all stages of the project lifecycle from developmental studies through design and into project…
Added 6 hours ago
AW
VP & Head of Environmental, Canada
Allied World Assurance Company
Toronto, ON
- Full-time
The Vice President & Head of Environmental, Canada is responsible for the profitable growth, strategic leadership, and operational management of Allied World's Environmental business…
Added 6 hours ago
S
Software Engineer - Full Stack
Sanofi
Toronto, ON
- Full-time
Position title: Software Engineer - Full Stack
Added 6 hours ago
T
Site Reliability Engineer II
TD
Toronto, ON
- Full-time
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at…
Added 7 hours ago
IF
Senior Data Analyst
iA Financial Group (Industrial Alliance)
Quebec, QC
- Full-time
Work closely with product and project leads, users, data scientists, and IT and business partners to understand needs, translate them into technical solutions, and operationalize models.
Added 7 hours ago
IF
AI Growth Ops
Ink Foundation
Canada
- Full-time
The team is a small, cross-functional group of growth, product, and engineering people who build this platform and run it day to day. We ship often, learn fast, and raise the quality bar…
Added 7 hours ago
AS
Quality Engineer
AgileGrid Solutions
Canada
- Full-time
As a Quality Engineer, you will help maintain product quality and customer satisfaction through structured testing, technical investigation, and effective problem-solving. You will…
Added 7 hours ago
AI Native Senior Software Engineer
Versaterm
Ottawa, ON
Versaterm is a PE-backed, high-growth SaaS company building a fully integrated platform across the entire public safety ecosystem - dispatch, law enforcement, forensics, courts, and beyond.…
Added 7 hours ago
W
Sr Software Development Engineer (Full Stack) - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Evisort Engineering is growing! As a Fullstack Software Engineer, you’ll join a collaborative, cross-functional team working to enhance and expand our AI-driven contract management…
Added 7 hours ago
Développeur.se - opérations liées à l’apprentissage automatique / MLOps Developer
Electronic Arts
Vancouver, BC
…and contribute to our experiences, supported by thoughtful product design, safety systems, and global reach. Our focus is on enabling more players to participate in creative expression by…
Added 7 hours ago
I
Software QA Engineer II
Infoblox
Burnaby, BC
- Full-time
We are looking for a Software QA Engineer II to join our Universal Asset Insights team, located in Burnaby, BC, reporting to the Manager of Engineering. In this role, you will work on…
Added 9 hours ago
Customer Quality Engineer
Acuity Inc.
Brossard, QC
The Customer Quality Engineer serves as the primary quality liaison among Technical Support, Product Management, Engineering, and Software and System Quality for customer-reported product…
Added 9 hours ago
S
Lead DevOps Engineer
Sphera
ON · Simcoe, ON
- Full-time
…home base is Platform Engineering, but your remit covers every product family that consumes platform…
Added 9 hours ago
YY
Junior Project Engineer
Ya YA Foods Corp.
Toronto, ON
- Full-time
Ya YA Foods is a dynamic and high-growth manufacturer of liquid food and unique beverages. With over 30 years’ experience, we have evolved into a versatile manufacturer and co-packer of a…

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
Posting language: English
Posted: Oct 1, 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 machine learning 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 engineering teams.

Requirements

A bachelor's degree in computer science, machine learning, statistics, or a related field, or equivalent experience, is required; a master's degree in machine learning or AI is beneficial. The role calls for 4–8 years of AI/ML engineering experience, production ML system ownership, expertise in training and deployment strategies, and experience with ML tools, cloud platforms, CI/CD, and MLOps standards.

Skills

Python
Spark
Airflow
MLflow
PyTorch Distributed
Horovod
Ray Train
Amazon SageMaker
Vertex AI
Azure Machine Learning
TorchServe
NVIDIA Triton
BentoML
CI/CD
A/B Testing
Model Training and Deployment

Benefits

Annual Bonus Program
Equity Offerings
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
Career Development
Development Courses
People Networks
Mentorship Programs
Leadership Programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Python
Spark
Airflow
MLflow
Feature Stores
PyTorch Distributed
Horovod
Ray Train
Amazon SageMaker
Vertex AI
Azure Machine Learning
TorchServe
NVIDIA Triton
BentoML
CI/CD
A/B Testing
Canary Releases
Shadow Deployment
Automated Rollback
Distributed Training
Model Serving
Feature Engineering
Hyperparameter Optimization
Model Evaluation
MLOps
Data Governance
Responsible AI
Retail

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Work requirements

Jobs in Canada