Jobs in Canada

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Added 9 mins ago
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Director, Asset & Wealth Management, Portfolio Management
BMO
Toronto, ON · FCP
- Full-time
…leadership role, partnering closely with coverage bankers, product teams, Risk, and…
Added 9 mins ago
CD
Install Technician - Interior Window Treatments
Custom Decorators Inc
Lloydminster, AB
- $2,500 to $50,000 CAD / year
- Contract
Hunter Douglas Retail Lead Network, a division of Hunter Douglas, is the premiere in-home design and installation service for major retailers in North America, specializing in custom-made…
Added 24 mins ago
RT
Director, Pricing and Procurement
Right Time Group of Companies
ON · Ontario, Canada
- Full-time
Reporting to the VP, Sales & Commercial Effectiveness, the Director, Pricing and Procurement will lead the development and execution of enterprise-wide pricing and procurement strategies…
Added 24 mins ago
BB
Senior Microsoft Sales Associate
Best Buy Canada
Calgary, AB
- Full-time
Grow your career in similar roles (sr. admin specialist, sr. product process specialist, sr. fulfillment specialist) or development roles (team lead, assistant store leader, store leader).
Added 24 mins ago
L
Seasonal Guest Experience Lead | Banff Avenue
lululemon
Banff, AB
- Full-time
Must have the ability to travel to assigned store with reliable transportation methods
Added 25 mins ago
J
Staff Product Manager, Accounts & Payments
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Product Manager, Accounts & Payments based in Canada.
Added 25 mins ago
HT
Quality Assurance Specialist
Hirematic Talent Solutions
ON · Ontario, Canada
- $40 to $45 CAD / hour
- Full-time
Experience with automated and manual testing tools and problem-tracking software (i.e., Jira, Bugzilla, and Micro Focus UFT Product Suite).
Added 25 mins ago
BB
Senior Administrative Specialist
Best Buy Canada
Calgary, AB
- Full-time
Grow your career in similar roles (sr. product process specialist, sr. advisor, sr. merchandiser) or development roles (team lead, assistant store leader, store leader).
Added 25 mins ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…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.…
Added 25 mins ago
NM
Skin Consultant & Front Desk Coordinator
Nexx MD Vancouver
Vancouver, BC
- Full-time
This role combines skincare consultations, product sales, and front desk administration. You will be a key point of contact for our clients, helping them explore our services, coordinate…
Added 25 mins ago
HT
Director, Global Marketing & Sales Enablement
Husky Technologies
Bolton, ON
- Full-time
Lead a centralized market intelligence and research capability serving Sales, Product Line Management, Strategy, Investor Relations, and executive leadership.
Added 25 mins ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Act as the finance lead for the Product Line, partnering closely with the General Manager and leadership team
Added 25 mins ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
At Husky TechnologiesTM, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.
Added 25 mins ago
L
Responsable de l'Experience Invite | Carrefour Laval
lululemon
Laval, QC
- Full-time
Added 25 mins ago
1
Founding Enterprise Account Executive (Outbound & Growth) - Novilo
15Rock
Toronto, ON
- Full-time
We aren't pre-product: Novilo is already in production with consulting, infrastructure, and enterprise advisory teams - cutting bid cycle costs by ~64% and saving ~39 hours per pursuit.…
Added 25 mins ago
O
Lead Principal Platform Software Engineer
Oracle
Toronto, ON
- $123,900 to $203,600 CAD / year
Collaborates with stakeholders internally and externally to lead efforts to understand customer issues, root causes, and mitigation to align and explain rationale behind solutions.
Added 39 mins ago
C
Seasonal Retail Team Lead – Part Time
Clarks
Williamsburg, ON
- Part-time
- Temporary
Clarks is looking for a Seasonal Part Time Team Lead to join the team!
Added 39 mins ago
Solution Delivery Manager
Rogers Communications
Toronto, ON · Brampton, ON · Calgary, AB
Proven ability to lead cross-functional delivery involving Product, Business, Architecture, Engineering, Security, Quality Assurance, Operations, vendors, and multiple technology domains.
Added 54 mins ago
J
Senior Growth Marketing Manager
Jobgether
Canada
- Full-time
…acquisition strategy and drive sustainable growth for a flagship SaaS product. You will lead the development and execution of a comprehensive growth strategy spanning paid media, SEO,…
Added 54 mins ago
B
Conseiller juridique expert
Beneva
Mississauga, ON
- Full-time
Oversee the approval of new insurance product offerings across the enterprise.
Added 54 mins ago
BC
Director, Asset & Wealth Management, Portfolio Management
BMO Capital Markets
Toronto, ON
- Full-time
…leadership role, partnering closely with coverage bankers, product teams, Risk, and…
Added 54 mins ago
B
Conseiller juridique expert
Beneva
Toronto, ON
- Full-time
Oversee the approval of new insurance product offerings across the enterprise.
Added 54 mins ago
KD
Directeur stratégie commerciale et gestion de la croissance du revenu/ Manager, Trade Strategy and Revenue Growth Management
Keurig Dr Pepper Canada
Montreal, QC
- Full-time
Added 54 mins ago
P&
Gestionnaire de fabrication – Lignes d’assemblage / Manufacturing Line Manager – Assembly Lines
Pratt & Whitney
Mirabel, QC
- Full-time
Added 1 hour ago
A
Manager of Renewals, SMB
Ashby
Canada
- Full-time
In this role, you’ll lead and develop a team of Startup Contract Managers responsible for guiding customers through renewals, pricing conversations, negotiations, and long-term partnership…

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.

Apply on LinkedIn About employer

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