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Added 6 days ago
SH
General Duty Nurse (N2) - Child Health - CH4 Medicine
Shared Health-Soins Communs
Winnipeg, MB
- Full-time
Graduate of an approved Registered Nursing education program required.
Added 6 days ago
SH
Staff Therapist - Occupational Therapist
Shared Health-Soins Communs
Winnipeg, MB
- Full-time
Must have effective written and verbal communication skills
Added 6 days ago
SH
Senior Communications and Government Relations Specialist
Shared Health-Soins Communs
Winnipeg, MB
- Full-time
Support clinical and corporate program areas by developing and implementing various communication plans and projects.
Added 6 days ago
SH
Health Care Aide - Cardiology Input Unit -5A/6A/PRU
Shared Health-Soins Communs
Winnipeg, MB
- Full-time
Under the general supervision of the Program Team Manager and a Registered Nurse (RN) or Registered Psychiatric Nurse (RPN), and while demonstrating a commitment to the Mission, Values and…
Added 6 days ago
L
Product Operations Lead | Carrefour Laval
lululemon
Laval, QC
- Full-time
Added 6 days ago
L
Seasonal Product Operations Educator | HALIFAX SHOPPING CENTRE
lululemon
Halifax, NS
- Part-time
Must have proof of the Right to Work and evidence relating to associated local legislative requirements (EMEA only) · Must have the ability to travel to assigned store with own transportation methods
Added 6 days ago
UO
AMR Centre Manager, Cumming School of Medicine
University of Calgary
Calgary, AB
- Full-time
Oversee a core team of direct reports-to administrative and/or research staff to support research program areas
Added 6 days ago
IR
Licensed Practical Nurse - Surgery
Interlake-Eastern Regional Health Authority
Selkirk, MB
- Full-time
Current Basic Life Support (BLS) Training – as delineated in Interlake-Eastern RHA Required Certification / required Policy GA11-50
Added 6 days ago
KM
Junior Media Sales Executive
Key Media
Toronto, ON · Greater Toronto Area, Canada
- Full-time
You will be expected to work from our Kingston or Toronto office 3-4 days per week, with flexibility to work remotely on other days · be based at our Kingston or Toronto office with a flexible, hybrid working arrangement (3-4 days per week in office)
Added 6 days ago
HT
Manuf. Support Technician
Husky Technologies
Bolton, ON
- Full-time
Must be able to work rotating shift schedules · Flexible with rotating shift work
Added 6 days ago
L
Seasonal Educator | HALIFAX SHOPPING CENTRE
lululemon
Halifax, NS
- Part-time
Must have proof of the Right to Work and evidence relating to associated local legislative requirements (EMEA only) · Must have the ability to travel to assigned store with own transportation methods
Added 6 days ago
HT
CNC Machinist - Rotational Shifts only + Benefits package + Paid time off +Shift Premium+ RRSP benefits
Husky Technologies
Bolton, ON
- Full-time
Must be able to work rotating shift schedules
Added 6 days ago
IR
Medical Editor
Interlake-Eastern Regional Health Authority
Selkirk, MB
- Internship
…the incumbent works co-operatively in a matrix structure to support the functions of Health Information Services. The position of Medical Transcriptionist functions in a manner consistent…
Added 6 days ago
L
Assistant Manager, Operations | Tanger Outlet
lululemon
Ottawa, ON
- Internship
Must have the ability to travel to assigned store with reliable transportation methods
Added 6 days ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…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…
Added 6 days ago
Wealth Management - JFL Research Internship/Co-op (Toronto) - Summer 2027
Scotiabank
Toronto, ON
…individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with…
Added 6 days ago
Wealth Management - JFL Research Internship/Co-op (Montreal) - Summer 2027
Scotiabank
Montreal, QC
Employee Referral Program – Potential Reward:
Added 6 days ago
Supervisor, Local Area Temporary Assignment
Canada Post - Postes Canada
Cornwall, ON
Have a satisfactory safe driving record per CPC’s Driver Safety Program , which includes:
Added 6 days ago
Commercial Services Counsel
Toronto Hydro
Toronto, ON
This position is based in a hybrid environment allowing for remote work two days per week, based on business needs
Added 6 days ago
Capital & Maintenance Program Analyst
Toronto Hydro
Toronto, ON
This position is based in a hybrid environment allowing for remote work two days per week, based on business needs
Added 6 days ago
Twelve (12) Powerline Technician - Certified Power Line Person - Apprentices
Toronto Hydro
Toronto, ON
To support the overall well-being and success of our employees, Toronto Hydro provides a comprehensive total rewards package which includes:
Added 6 days ago
Manager, Engineering
Toronto Hydro
Toronto, ON
…initiatives. The role provides strategic and technical leadership to support the reliable, safe, and cost-effective operation and growth of Toronto Hydro's electricity distribution…
Added 6 days ago
Assistant Cook
Winnipeg Regional Health Authority
Teulon, MB
Under the direction of the Manager, Support Services and Cook, the Assistant Cook performs the assigned duties for the provision of regular, therapeutic and texture modified meals related…
Added 6 days ago
Health Care Aide - Home Care Program
Winnipeg Regional Health Authority
Winnipeg, MB
Added 6 days ago
Hospital Based Case Coordinator (N3) - Home Care Hospital Based Concordia
Winnipeg Regional Health Authority
Winnipeg, MB
The Home Care Program provides a broad range of services to assist people to safely remain in a community setting. Under the general supervision of the Manager Health Services and while…

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 4, 2026
Posting language: English
Posted: Nov 4, 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, training, evaluation, deployment, and production monitoring. Build scalable training and serving infrastructure, automate deployment practices such as A/B testing and canary releases, and collaborate with research, data science, and product teams to deliver production-ready AI capabilities.

Requirements

Requires a bachelor's degree in computer science, machine learning, statistics, or a related field, or equivalent experience; a master's degree in AI or ML is beneficial. Candidates should have 4–8 years of AI/ML engineering experience and demonstrate expertise in production ML systems, training strategy, deployment lifecycle, CI/CD, MLOps standards, and 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
Model Training
MLOps

Benefits

Annual Bonus
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
Wellbeing And Personal Growth Programs
Development Courses
Mentorship Programs

Visa sponsorship

Not detected in the job text

Keywords

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

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Work requirements

Jobs in Canada