Jobs in Canada

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Added 15 mins ago
Sales Specialist - Rehab Product
Sobeys
Corner Brook, NL
Full-time
Ensure corporate credit card is paid in full each month
Added 16 mins ago
Sales Specialist - Rehab Product
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Corner Brook, NL · St. John's, NL
Ensure corporate credit card is paid in full each month
Added 31 mins ago
Property Maintenance Manager
Kerry's Place Autism Services
Newmarket, ON
$71,214 to $89,037 CAD / year
Full-time
Are you looking for a meaningful career full of lifelong learning and everyday adventures?
Added 31 mins ago
Parts Coordinator
Sunbelt Rentals, Inc.
Toronto, ON
Full-time
Sunbelt also provides a comprehensive benefits package to its full-time employees. This package includes:
Added 46 mins ago
Registered Practical Nurse (RPN), Visiting Nursing - Full-time
VON Canada (Ontario)
London, ON
$28.19 to $29.95 CAD / hour
Full-time
Employment Status: Regular, Full-time (1.0 FTE)
Added 46 mins ago
Security Guard
Manitoba Métis Federation
Selkirk, MB
Full-time
The IWS seeks to fill multiple full-time Security Guard positions within our Transitional Housing located in St. Andrews, MB. The Security Guard is responsible for maintaining a safe,…
Added 46 mins ago
Licensed Practical Nurse (LPN) - Full-time
VON Canada (Nova Scotia)
Antigonish, NS
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Employment Status: Regular, Full-time (1.0 FTE)
Added 1 hour ago
Service Advisor
Steele Auto Group
Halifax, NS
Full-time
We believe in rewarding hard work and supporting every part of your journey. That is why our Total Rewards package is built to help you thrive, physically, financially, and emotionally.…
Added 1 hour ago
eLearning & Facilitation Specialist (Edmonton location)
Alberta Pensions Services Corporation (APS)
AB · Edmonton, AB
$79,615.84 to $96,079.75 CAD / year
Full-time
Position Type: Full-time, Permanent Unionized
Added 1 hour ago
Bilingual Doorperson (Full-Time)
Fairmont Hotels & Resorts
Ottawa, ON
Full-time
Comprehensive extended health benefits package
Added 1 hour ago
Air Conditioning/Refrigeration Technician - Maintenance and Operations
Nova Scotia Health Authority
Halifax, NS
Full-time
Permanent, Full-time Position; 75 Hours Bi-weekly
Added 1 hour ago
Indigenous Nurse Practitioner - Primary Health Care (Designated)
Nova Scotia Health Authority
Truro, NS
Full-time
Permanent, full-time position; (75 hours bi-weekly)
Added 1 hour ago
Air Conditioning/Refrigeration Technician - Maintenance and Operations
Nova Scotia Health Authority
Halifax, NS
Full-time
Permanent, Full-time Position; 75 Hours Bi-weekly
Added 1 hour ago
Personal Support Worker
Extendicare
Prince Edward, ON · Belleville, ON · ParaMed - Belleville (Sidney Street)
Full-time
Valid driver license and access to a vehicle to travel to and from patient’s residences within a geographical area
Added 1 hour ago
Personal Support Worker
Extendicare
Belleville, ON · Bancroft, ON · Madoc, ON · Centre Hastings, ON · ParaMed - Belleville (Sidney Street)
Full-time
Valid driver license and access to a vehicle to travel to and from patient’s residences within a geographical area
Added 1 hour ago
Registered Nurse/Registered Practical Nurse
Extendicare
Belleville, ON · Bancroft, ON · ParaMed - Belleville (Sidney Street)
Full-time
Part time and Full-time scheduling including every other weekend off
Added 1 hour ago
Clinical Supervisor - RPN/RN
Extendicare
Windsor, ON · ParaMed Admin Office - ESC (Eugenie St.)
Full-time
Must possess a valid driver’s license and access to reliable transportation
Added 1 hour ago
Air Conditioning/Refrigeration Technician - Maintenance and Operations
Nova Scotia Health and IWK Health
Halifax, NS
Permanent, Full-time Position; 75 Hours Bi-weekly
Added 1 hour ago
Indigenous Nurse Practitioner - Primary Health Care (Designated)
Nova Scotia Health and IWK Health
Truro, NS
Permanent, full-time position; (75 hours bi-weekly)
Added 2 hours ago
Senior Chiller Service Technician
Ambient Mechanical Ltd
Toronto, ON
Stable full-time employment with a reputable service company.
Added 2 hours ago
HVAC Technician 2
Sunbelt Rentals, Inc.
Levis, QC
Full-time
Sunbelt also provides a comprehensive benefits package to its full-time employees. This package includes:
Added 2 hours ago
Power Generation Technician
Sunbelt Rentals, Inc.
Dartmouth, NS
Full-time
Sunbelt also provides a comprehensive benefits package to its full-time employees. This package includes:
Added 2 hours ago
Equipment Rental Specialist
Sunbelt Rentals, Inc.
Levis, QC
Full-time
Sunbelt also provides a comprehensive benefits package to its full-time employees. This package includes:
Added 3 hours ago
Apprentice Technician
Steele Auto Group
Dieppe, NB
Full-time
We believe in rewarding hard work and supporting every part of your journey. That is why our Total Rewards package is built to help you thrive, physically, financially, and emotionally.…
Added 3 hours ago
LPN (Evenings & Weekends)
Bayshore
Woodstock, NB
Comprehensive Benefits Package: Enjoy company-sponsored health and dental benefits for you and your family, ensuring your well-being.

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 14, 2026
Posting language: English
Posted: Sep 22, 2026

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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 About employer

More about this job

Responsibilities

You will design and implement end-to-end AI/ML systems, managing the full model lifecycle from dataset curation to production deployment. Additionally, you will collaborate with cross-functional teams to build scalable training pipelines and ensure model performance meets business requirements.

Requirements

Candidates must have a bachelor's degree in a technical field and 4-8 years of experience in AI/ML engineering. Proven expertise in production-grade ML systems, CI/CD automation, and cloud-based ML platforms is required.

Skills

Machine Learning
Python
Spark
Airflow
MLFlow
PyTorch
SageMaker
Vertex AI
Azure ML
CI/CD
Model deployment
Feature engineering
Distributed training
Model architecture
Data governance
Software engineering

Benefits

Extended health and dental benefits
Mental health plans
Paid time off
Savings and retirement plan matching
Employee discount
Fitness and yoga classes
Parenthood top-up
Development course offerings
Mentorship programs
Annual bonus program
Equity offerings

Visa sponsorship

Not detected in the job text

Keywords

AI/ML Engineer
Machine Learning
Python
Spark
Airflow
MLFlow
PyTorch
SageMaker
Vertex AI
Azure ML
CI/CD
Model deployment
Feature engineering
Distributed training
Model architecture
Data governance
Software engineering
Retail
Data & AI
Analytics
Automation
Triton
BentoML
TorchServe
Ray Train
Horovod
Cloud computing
MLOps
Predictive modeling
Performance apparel

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