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Added 3 mins ago
CC
RQ11859 - Systems Testing/QA Specialist
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
Must Have Experience:
Added 18 mins ago
TT
Gestionnaire de la réussite client - Customer Success Manager
trane technologies
Montreal, QC
- Full-time
Dans le cadre de vos fonctions, vous superviserez l’intégration des clients, stimulerez l’adoption de la plateforme, mettrez en valeur les indicateurs de réduction d’énergie et de carbone,…
Added 1 hour ago
FA
Warehouse Operations Supervisor
FTAI Aviation
Montreal, QC
- Full-time
Reporting to the Director of Integration and Warehouse Operations, the Warehouse Operations Supervisor is responsible for leading and directing warehouse and stockroom staff while ensuring…
Added 1 hour ago
A
Concepteur De Structures / Structural Designer
Actalent
MB · Saint-Laurent, MB
- $40 to $70 CAD / hour
- Contract
Travail hybride 2-3 jours par semaine (sous réserve de changement), principalement les lundis et mardis
Added 1 hour ago
HE
Lead/Senior Lead Gate Automation Technician
Hudson Entry & Automation
London, ON
- $25 to $40 CAD / hour
- Full-time
Experienced Lead/Senior Lead Gate Automation Technician
Added 1 hour ago
T
AI Solutions Lead
TransAlta
Calgary, AB
- Full-time
We’re looking for an AI Solutions Lead to help turn emerging AI capabilities into practical solutions that create real business value.
Added 2 hours ago
HT
Quality Assurance Specialist
Hirematic Talent Solutions
ON · Ontario, Canada
- $40 to $45 CAD / hour
- Full-time
Plans and organizes testing efforts for large systems in Graphical User Interface (GUI) and non-Graphical User Interface (GUI) environments, including the execution of systems integration…
Added 2 hours ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
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…
Added 2 hours ago
O
Lead Principal Platform Software Engineer
Oracle
Toronto, ON
- $123,900 to $203,600 CAD / year
…across the group. Anticipates and resolves ambiguous distributed-systems problems; sets compatibility and deprecation strategies to minimize downstream risk. Establishes shared…
Added 2 hours ago
Solution Delivery Manager
Rogers Communications
Toronto, ON · Brampton, ON · Calgary, AB
…ensuring alignment across business requirements, architecture, integration, data, operations, security, and support…
Added 2 hours ago
C
Stage coopératif - Hiver 2027: Développeur(euse) logiciel (4 mois)
CGI
Saguenay, QC
- Full-time
Under the supervision of a senior developer or technical lead, you will have the opportunity to:
Added 2 hours ago
C
Senior Software Developer- Cloud & Data Platforms
CGI
Halifax, NS
- Full-time
Lead end-to-end software development activities, from requirements analysis and solution design through implementation, deployment, and production support.
Added 2 hours ago
VB
Sr. Manager of Projects Controls - Canada
Vale Base Metals
Toronto, ON
- Full-time
…Feasibility Studies (FS). The successful candidate will ensure the integration of estimating, cost control, planning, risk management, and performance management disciplines, enabling…
Added 3 hours ago
W
Senior Advisor - Safety Risk Management
WestJet
Calgary, AB
- Full-time
Lead and facilitate complex safety risk assessments related to operational changes, emerging hazards, and cross-functional initiatives.
Added 3 hours ago
A
Ingénieur En Fiabilité/ Site Reliability Engineer
Actalent
Montreal, QC
- $60 to $85 CAD / hour
- Contract
Vous travaillez principalement sur site trois jours par semaine dans une installation moderne et récemment construite
Added 3 hours ago
EJ
Leader - Learning and Performance Strategy
Edward Jones
Mississauga, ON
- $115,900 to $197,300 CAD / year
- Full-time
The Leader, Learning and Performance Strategy is accountable to lead development and execution of learning strategies and roadmaps for several portfolios ensuring integration and alignment…
Added 3 hours ago
S
Nurse, Clinical Informatics Specialist
Sanya’k̓ula
Vancouver, BC
- Full-time
…facilitation and instruction on the design, optimization and integration of clinical workflow applications related to variety of clinical information systems. The role is an integral member…
Added 3 hours ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Vancouver, BC
- Full-time
…AI-native experiences, enabling both humans and intelligent systems to better understand user behavior and business…
Added 4 hours ago
A
Senior Member of Technical Staff – Software Development in Test
Aptiv
Ottawa, ON
- Full-time
…automated tests for safety-critical embedded real-time operating systems and embedded virtualization…
Added 4 hours ago
SC
Technical Specifications Coordinator
SYSTRA Canada
Montreal, QC
- Full-time
…leads, system engineering teams, civil infrastructure, rail systems, procurement, and project controls, the Technical Specifications Coordinator will lead the development, coordination,…
Added 4 hours ago
TI
Financial Analyst II
tappCONNECT Inc.
AB · Edmonton, AB
- Full-time
Support process improvements, accounting policy development, systems integration initiatives, and reporting enhancements
Added 5 hours ago
SM
RQ11859 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 5 hours ago
W
Director of Finance, Contract
WalterFedy
Kitchener, ON
- Contract
Change Leadership: Finance process and systems change lead; partners with the Director, PMO on enterprise program financial governance.
Added 6 hours ago
GC
Chef.fe d’équipe, conception technique / Lead Technical Designer
Game Companies
Montreal, QC
- Temporary
Au niveau Lead : tu portes les standards techniques de l’équipe ; tu fais le lien entre la conception, la programmation et la production ; tu montres l’exemple en implémentant toi-même des…
Added 6 hours ago
GC
Senior Manager, FP&A - Central Technology
Game Companies
Vancouver, BC
- Full-time
We're looking for a Senior Manager of Financial Planning & Analysis (FP&A) to lead Finance support for EA's Information Technology (EAIT) and Security organizations. You'll partner with our…

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 11, 2026
Posting language: English
Posted: Nov 11, 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.

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More about this job

Responsibilities

Design and implement end-to-end AI/ML 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 teams to deliver reliable AI capabilities.

Requirements

Requires a bachelor's degree in a relevant technical field or equivalent experience; a master's degree in ML or AI is beneficial. Candidates should have 4–8 years of AI/ML engineering experience and demonstrate production ML system ownership, model training strategy, deployment automation, software engineering practices, and experience with 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
Distributed Training
MLOps

Benefits

Annual Bonus
Equity Offerings
Career Development
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
Development Courses
Mentorship Programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
End-To-End ML Systems
Dataset Curation
Feature Engineering
Model Training
Hyperparameter Optimization
Model Evaluation
Model Deployment
Production Monitoring
Classification
Regression
Ranking
Generative Models
Retrieval
Distributed Training
CI/CD
A/B Testing
Canary Releases
Shadow Deployment
Automated Rollback
Model Serving
Latency Optimization
Throughput Optimization
Cost Optimization
Cloud ML Platforms
MLOps Standards
Automated Testing
Service Reliability
Data Governance

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Work requirements

Jobs in Canada