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Added 12 mins ago
TC
Retail Customer Service Coordinator Full time Winners-Pen Center
TJX Canada – Winners, Marshalls, HomeSense
St. Catharines, ON
- Full-time
We’re looking for a Retail Store Coordinator to join our team in a welcoming environment. In this role, you’ll lead and inspire to deliver outstanding customer experiences. If you thrive in…
Added 12 mins ago
MS
Merchandise Manager - Full Time - 3am Required - $21.25hr
Michaels Stores
Langford, BC
- Full-time
At Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and…
Added 12 mins ago
NF
Front End Assistant Department Manager Part Time Day
No Frills
Calgary, AB
- Part-time
Lead, mentor and empower team members to improve efficiency, engagement, and retention
Added 1 hour ago
L
Product Operations Lead | Carrefour Laval
lululemon
Laval, QC
- Full-time
Added 1 hour ago
L
Assistant Manager, Operations | Tanger Outlet
lululemon
Ottawa, ON
- Internship
The Assistant Manager, Operations role is an essential part of the store leadership team and is responsible for making sure our retail business runs smoothly and successfully. Assistant…
Added 1 hour ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
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…
Added 1 hour ago
L
Designer - Small Accessories
lululemon
Vancouver, BC
- Full-time
…pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $104,600 – $137,300 CAD annually; the base pay…
Added 1 hour ago
M
Stylist (Retail) (Part-time)
Mejuri
King, ON
- Part-time
Stylists at Mejuri are engaging, nimble, creative and driven. Join us in redefining luxury - one customer, one team member, and one exceptional experience at a time.
Added 1 hour ago
Manager Marketing
Gildan
Mississauga, ON
…Gildan's long-term business strategy. Together with our global team of dedicated employees, Gildan is united in its vision of Making Apparel Better®. Discover the full scale of Gildan and…
Added 2 hours ago
BT
Senior Manager, Small Business Services
Baker Tilly Canada
Winnipeg, MB
- Full-time
We are looking for a full-time, permanent Senior Manager to lead our small business practice in Winnipeg, Manitoba. This role suits an experienced small business practitioner who knows…
Added 2 hours ago
TS
Kettle Area Team Lead (Daytime)
The Salvation Army in Canada
AB · Edmonton, AB
- Full-time
Area Team Lead position is a short-term contract position. The successful candidate is responsible for oversight of several Christmas Kettle locations in a given geographical zone area.…
Added 2 hours ago
TS
Kettle Area Team Lead (Evening)
The Salvation Army in Canada
AB · Edmonton, AB
- Full-time
Area Team Lead position is a short-term contract position. The successful candidate is responsible for oversight of several Christmas Kettle locations in a given geographical zone area.…
Added 2 hours ago
LS
Levi’s® Store Manager - Tanger Outlets - Cookstown, ON
Levi Strauss & Co.
Cookstown, ON
- Full-time
Demonstrate Courage: We lead with our values. You feel supported to make decisions and lead by example. You are a role model.
Added 2 hours ago
G
Seasonal Retail Sales Associate - Bayview Village
Gap
Toronto, ON · North York, ON
- Part-time
We’ve built our brand on staying true to our roots while always being out in front of what’s next. If you want to be part of an iconic American brand, and help lead the way for where we’re…
Added 2 hours ago
SD
Pharmacy Manager, Hourly Full Time Flexible Shifts
Shoppers Drug Mart
Toronto, ON
- Full-time
…great place to work. We’re committed to building our talented team who champion collaboration, kindness and inclusivity. Join our team, and help recognize a healthy future for your career…
Added 2 hours ago
LC
Joe Fresh Department Manager In Training
Loblaw Companies Limited
Calgary, AB
- Full-time
…connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact…
Added 3 hours ago
ED
Branded Retail Account Manager
Equator Design
Toronto, ON
- $30 to $40 CAD / hour
- Full-time
Manage communication between the Client’s internal retail design team, Marks design studio, and Client’s translation and production partners for branded retail design adaptation. Align with…
Added 3 hours ago
LS
Levi’s® Store Manager - Tanger Outlets - Cookstown, ON
Levi Strauss & Co.
Cookstown, ON
- Full-time
Demonstrate Courage: We lead with our values. You feel supported to make decisions and lead by example. You are a role model.
Added 3 hours ago
Events Sales Specialist | Sports, Festivals & Community Events
Rogers Communications
Toronto, ON
Our Residential team is proud to offer our customers seamless and simple technology that fits into any lifestyle. Our Field Sales teams work closely with our customers and offer a…
Added 3 hours ago
IB
Customer Experience Manager
Indigo Books & Music
Edmonton, AB
- $42,500 to $69,000 CAD / year
- Full-time
The Customer Operations Manager is responsible for the customer experience and the store’s omni sales results. They lead a team to master Indigo’s service model and to suggest and sell…
Added 3 hours ago
M
AVP Strategy - Intermediary, Product, Institutional
Manulife
Toronto, ON
- Full-time
Reporting to the Head of GWAM Strategy and Transformation, the AVP, Strategy – Retail Intermediary, Product and Institutional is a strategic partner to the relevant business leadership…
Added 4 hours ago
SD
Pharmacist, Hourly Part Time Day Greenlight Requisition
Shoppers Drug Mart
Richmond, BC
- Part-time
Proven ability to drive and build the business, lead by example and support enterprise programs
Added 4 hours ago
KD
Account Manager
Keurig Dr Pepper
Calgary, AB
- $73,900 to $93,500 CAD / year
- Full-time
…external projects aimed at maximizing business objectives for the team managing West regional account operations. They will work in collaboration with the Customer team lead -National…
Added 4 hours ago
S
Operations Lead - Full Time
sephora.com
Vancouver, BC
- $22.85 to $28.55 CAD / hour
- Full-time
As Team Lead, Operations, you will be supporting all Operations related aspects of a specific Sephora store location. This includes direct management of all members of the Operations team.…
Added 5 hours ago
B&
Seasonal Retail Sales Associate-OSHAWA CENTRE
Bath & Body Works
Oshawa, ON
- $18.95 USD / hour
- Part-time
Great Part Time Job | 40% Discount | Free Product | EAP | Fun Stores

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Full-time

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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 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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