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Added 16 mins ago
MI
Project Manager
Maarut Inc
Toronto, ON
- Contract
…telecommunications/video/Video over I/P (VoIP), and audio/visual…
Added 16 mins ago
BI
Director of Internal Control
Boyd Interactive
Toronto, ON · North York, ON
- $100,000 to $130,000 CAD / year
- Full-time
…delivering internal audit functions across all disciplines – IT, Business, Marketing, Finance, Operations, Regulatry - including evaluating and improving the effectiveness of IT, back…
Added 16 mins ago
HS
Manager, Disability & Risk Management
HR Solutions
ON · Greater St-Catharines-Niagara Metropolitan Area
- Full-time
Health, Health Sciences, Business, Law or a related discipline, or an equivalent
Added 16 mins ago
IG
EDI Developer / Integration Specialist
Insight Global
Mississauga, ON
- $50 to $65 CAD / hour
- Contract
Post-secondary education in Computer Science, Information Systems, Business Systems, Supply Chain, or a related field.
Added 16 mins ago
A
Concepteur de produits principal/ Senior Product Designer
Acumatica
Montreal, QC
- Full-time
…companies thrive in today’s digital economy. Our industry-specific business management solution is engineered to address real-world needs - featuring intelligent workflows and…
Added 30 mins ago
A
Manager, Corporate Compliance
Apotex
Toronto, ON · North York, ON
- $96,551 to $160,918 CAD / year
…Interface with regulators and liaise with stakeholders across the business to support quality and compliance team. This position provides compliance oversight, support during regulatory…
Added 30 mins ago
EG
Sales Lead (Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Sales Lead (Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Sales Lead (Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Sales Lead (Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Sales Lead (Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Sales Lead (Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Sales Lead (Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Chief of Staff (On-site / Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Chief of Staff (On-site / Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Chief of Staff (On-site / Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Chief of Staff (On-site / Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Chief of Staff (On-site / Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Chief of Staff (On-site / Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
EG
Chief of Staff (On-site / Remote) (m/f/d)
EWOR GmbH
Remote, Canada
- Remote
Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.
Added 30 mins ago
T
Product Operations Manager
TEKsystems
Ottawa, ON
- $60 to $70 CAD / hour
- Contract
Provide functional leadership to product commercialization managers across our business lines, setting shared standards for critical path planning, launch readiness, and cross-functional…
Added 30 mins ago
EC
Strategic Development Program Trainee
EMCO Corporation
Kamloops, BC
- $45,000 to $55,000 CAD / year
- Full-time
…organization with the agility and entrepreneurial spirit of a growing…
Added 46 mins ago
EC
Strategic Development Program Trainee
Emco Corporation: Plumbing, HVAC, Waterworks, Industrial, Irrigation, Fire Protection
Kamloops, BC
- $45,000 to $55,000 CAD / year
- Full-time
…organization with the agility and entrepreneurial spirit of a growing…
Added 46 mins ago
F
SENIOR ACCOUNTANT M/F/D
F/LIST
Laval, QC
- Full-time
As a craftsman and family business, two things are especially close to our hearts: craftsmanship and people. With more than 1000 employees worldwide, we manufacture high-quality interiors…
Added 46 mins ago
A
Senior Manager, Technology Transformation
Amyantek
Toronto, ON
- Contract
Partner with DT SLT and business stakeholders to build and sustain alignment around the product transformation vision and business outcomes.

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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