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Added 1 hour ago
MM
Oliver Wyman - Senior Lead AI Developer
Marsh McLennan
Toronto, ON · Montreal, QC
- Full-time
Knowledge of one or more agentic platforms , including but not limited to: Azure Foundry, AWS Bedrock, Gemini Enterprise Agent Platform
Added 4 hours ago
A
Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this…
Added 4 hours ago
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VMware Infrastructure Specialist
HCLTech
AB · Edmonton, AB
- $89,000 to $117,000 CAD / year
- Full-time
The successful candidate will bring deep VMware expertise and hands-on experience leading infrastructure transformation projects, migrations, and enterprise platform upgrades.
Added 6 hours ago
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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 6 hours ago
C
Senior Salesforce Developer
CGI
Victoria, BC
- Full-time
…design and build robust, scalable solutions on the Salesforce platform for our public sector and healthcare clients across British Columbia. You will take a lead role on complex…
Added 7 hours ago
A
Project Management Lead - Talent Pipeline
APPLY
Canada
- Full-time
As a Project Management Lead at APPLY, you will sit at the intersection of delivery, people, and growth, owning multi-track programs and portfolios across digital strategy, products,…
Added 8 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Contract
…continuous improvement of the Dynamics 365 Finance & Operations platform. This role manages system security, licensing, upgrades, and environment health while configuring and supporting…
Added 9 hours ago
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AVP Strategy - Intermediary, Product, Institutional
Manulife
Toronto, ON
- Full-time
The AVP will bring an independent, enterprise-wide perspective across North America Intermediary, Global Product and Institutional. Working across Distribution, Product, Investments,…
Added 9 hours ago
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IT Operations Manager, AI & Automation
FacilityOS
Remote, Canada
- $125,000 to $145,000 CAD / year
- Full-time
- Remote
FacilityOS is a fast-growing company redefining how facilities operate - bringing safety, security, and daily operations into one unified platform used by organizations around the world.
Added 9 hours ago
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Global Payroll Transformation Business Analyst
Hays
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…country-specific payroll providers to ADP as the strategic global payroll…
Added 10 hours ago
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Manager, Project Systems & Information Management
Worley
Markham, ON
- Full-time
As a Project Information Manager, you will lead the planning, implementation, integration, and ongoing management of information systems across complex capital projects. Working as an…
Added 10 hours ago
M
Cloud Solution Architect - AI Apps - Full-time LOA backfill
Microsoft
Calgary, AB · Vancouver, BC
- Full-time
…application innovation & AI transformation on the Microsoft platform. As part of this role, you will be responsible for technical customer engagements, working with the most challenging and…
Added 10 hours ago
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Enterprise Network Architect
evertz.io
Burlington, ON
- Internship
We're looking for a Enterprise Network Architect to join our customer-facing solutions team. This is not a back-office design role - you'll work directly with customers (broadcasters, media…
Added 11 hours ago
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Staff Information Security Engineer - Threat Detection & Response
Visier
Remote, Canada
- Full-time
- Remote
…organizations across the globe. Our mission is to help businesses lead with insight at scale as they continuously…
Added 11 hours ago
AC
AVP IT Delivery
Aviva Canada
Markham, ON
- Full-time
Experience managing dependencies, shared resources, and competing priorities across a portfolio of enterprise IT initiatives, such as core platform, cloud, data, and modernization programs.
Added 11 hours ago
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Senior Software Developer
Botpress
Montreal, QC
- Full-time
Botpress is the enterprise-grade AI agent platform for customer support - built the other way around.
Added 12 hours ago
TE
Planning Intelligence & Automation
TC Energy
Calgary, AB
- Full-time
…practical digital workflows. You will partner closely with the PE Lead on process ownership, controls, workflow requirements, and adoption, and with the PDO Data Lead on data architecture,…
Added 12 hours ago
C
Customer Success Manager - Enterprise
Caribou
Remote, Canada
- $80,000 to $95,000 CAD / year
- Full-time
- Remote
We’re looking for a Customer Success Manager to lead strategic enterprise customer accounts. This opportunity is for a compassionate problem solver who thrives in fast-paced environments…
Added 12 hours ago
A
Senior Principal Engineer
Autodesk
Toronto, ON
- Full-time
GET Engineering is seeking an experienced Senior Principal Engineer – AI and Engineering Excellence to lead the technical strategy and evolution of our cloud platform, developer experience,…
Added 12 hours ago
TG
Audio Visual Support Intern
TMX Group
Toronto, ON
- $20 to $23 CAD / hour
- Full-time
This role reports to: Technology Lead, AV Services
Added 12 hours ago
C
Senior Java Developer - Vice President
Citi
Mississauga, ON
- Full-time
We are seeking for a “Technology Lead Analyst" to join our team; this is a senior role responsible for overseeing the design and implementation of new or enhanced application systems in…
Added 12 hours ago
Digital Marketing Program Manager
Dayforce
Toronto, ON
Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Added 12 hours ago
AVP IT Delivery
Aviva
Markham, ON
Experience managing dependencies, shared resources, and competing priorities across a portfolio of enterprise IT initiatives, such as core platform, cloud, data, and modernization programs.
Added 13 hours ago
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Accounting Manager
Brickeye
Toronto, ON
- $80,000 to $120,000 CAD / year
- Full-time
The Next Challenge: Shape the future of our platform's evolution, from next-generation sensor designs to scalable enterprise SaaS features.
Added 13 hours ago
F
Co-Founder & CEO - AI Communication Agents for Freight & Logistics
FutureSight
Canada
- Full-time
FutureSight is seeking a Co-Founder & CEO to lead HawkAI, an enterprise AI venture for US logistics brokerages, carriers, and warehouse operators. This is a co-founder partnership with…

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Full-time

Apply About employer

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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.

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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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