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Added 34 mins ago
Senior Product Manager
MatchBox Consulting Group
Vancouver, BC
Contract
Define and lead the product vision, strategy, roadmap, and evolution of the Content Ecosystem, including content operations, creative workflows, digital asset management, product content,…
Added 2 hours ago
Senior DevOps Engineer
Perceptic
Engineer, BC
Full-time
We were built by operators from Palantir who spent years deploying production AI in the world's most demanding enterprise environments. We know what it takes to make ambitious technology…
Added 3 hours ago
Lead DevOps Engineer
Perceptic
Engineer, BC
Full-time
We need a Lead DevOps Engineer to own that infrastructure end to end. You'll be the single, clear owner of how Perceptic deploys, operates, secures, and scales, across our own platform and…
Added 13 hours ago
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 14 hours ago
Vice President of Customer Experience (CX)
AMZ Prep®
Mississauga, ON
Full-time
The VP of Customer Experience owns net revenue retention across the enterprise portfolio. This seat keeps our customers, grows them, and makes AMZ Prep a strategic partner to complex brands…
Added 15 hours ago
Director of Product Management Enterprise
Trackforce
Montreal, QC
Full-time
Partnering closely with Engineering, Sales, and executive leadership, you will shape go-to-market strategy, lead Customer Advisory Board insights into product direction, and engage directly…
Added 22 hours ago
Senior Enterprise Customer Success Manager
AfterShip
Toronto, ON
…company on a mission to build the world’s leading automation platform for ecommerce…
Added 23 hours ago
Director, Value Creation Private Markets
OPTrust
Toronto, ON
Full-time
The Director, Value Creation will lead the modernization of Private Markets investment workflows and drive AI-enabled value creation across the portfolio. This role combines expertise in…
Added 1 day ago
Recruiting Lead & Talent Partner
Karbon Digital
Toronto, ON
Part-time
We are scaling our engineering, AI research, product, and enterprise GTM teams and are looking for a Recruiting Lead to build a world-class talent pipeline.
Added 1 day ago
Senior Software Developer
Bentley Systems
Toronto, ON
…end-to-end design, development, and release of high-performance platform services and APIs that enable advanced analytics, data science, business intelligence, and AI workflows for…
Added 1 day ago
Chief Technology Officer
EWS Group
Canada
Full-time
Lead modernization of the platform, including cloud architecture, scalability, performance, and security.
Added 1 day ago
IT Administrator (Email & Office 365)
eBay
Toronto, ON
Full-time
At eBay, we're more than a global ecommerce leader - we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around…
Added 1 day ago
Senior Security Architect
Medavie
AB · MB · Moncton, NB · NB · NL · NS · ON · PE · Montreal, QC · MBC NB Head Office Moncton
Full-time
The Senior Security Architect is a strategic technical leader responsible for designing, implementing, and governing enterprise-wide security architectures that protect the organization’s…
Added 1 day ago
Senior Manager, Marketing Analytics
Optro
Remote, Canada
$128,000 to $176,000 CAD / year
Full-time · Remote
…risk into opportunity through its AI-powered GRC Intelligence Platform. More than 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their…
Added 1 day ago
Senior Director, Controllership & Operations Transformation
Salesforce Partner Canada
Toronto, ON
Full-time
…automation strategy. With Agentforce woven into every layer of our platform, our team builds intelligent systems that automate repetitive subledger flows, elevate strategic accounting…
Added 1 day ago
RVP, Sales - Data Foundation - Public Sector
Salesforce Partner Canada
ON · Ontario, Canada
Full-time
Experience selling cloud-based enterprise applications, with a strong preference for candidates with hands-on Data Foundation, data integration, or data platform sales experience
Added 1 day ago
Enterprise Account Executive, Qualified
Salesforce Partner Canada
Toronto, ON
Full-time
Qualified is Salesforce's AI-powered pipeline generation platform, acquired in April 2026. Our core product, Piper, is the #1 AI SDR agent in the world - she lives on a company's website…
Added 1 day ago
Power Platform & Copilot Studio Architect
Softchoice
Calgary, AB · AB · NS · Oakville, ON · Ottawa, ON · Toronto, ON · Nova Scotia, Nova
…conversational-AI solutions built on Microsoft Copilot Studio and the Power Platform, backed by custom Azure development where the workload demands it. This role owns the hardest recurring…
Added 1 day ago
Salesforce Platform Engineer
RBC
Toronto, ON
Full-time
Lead development of high-impact enterprise projects by working closely with product owners during requirement definition and platform capability mapping
Added 1 day ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 1 day ago
Principal Product Manager
RBC
Toronto, ON
Full-time
…offers the chance to drive responsible AI adoption, influence enterprise strategy, and create tangible impact through innovative, AI-driven…
Added 1 day ago
Senior Director-Head of CNB Wealth Business Architecture
RBC
Toronto, ON
Full-time
Lead the Wealth Business Architecture organization of approximately 30 professionals, establishing a high-performing, product-oriented culture focused on business outcomes and client value.
Added 1 day ago
Lead Change Management Specialist
RBC
Toronto, ON
Full-time
The Lead Change Management Specialist is a role within the DevOps & EA Business Office, reporting directly to the Senior Director. This role owns the full Change Management mandate for the…
Added 1 day ago
Director EIAM Strategy &Technical Product Management (Global Security)
RBC
Vancouver, BC · Toronto, ON · Bedford, QC
Full-time
…executing integrated product strategy across Royal Bank of Canada's Enterprise Identity and Access Management (EIAM)…
Added 1 day ago
Associate Director - Lead Software Developer
RBC
Toronto, ON
Full-time
As a Lead Full Stack Software Developer operating within an Agile product team, your primary role will be designing, coding and delivering highest-quality software solutions. You will also…

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 22, 2026
Posting language: English
Posted: Sep 27, 2026

Apply About employer

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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 AI/ML systems, including data preparation, feature engineering, model training and evaluation, deployment, and production monitoring. Build scalable training and serving infrastructure, automate deployment and testing practices, 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, training strategy design, deployment lifecycle expertise, and familiarity with common ML tools and cloud platforms.

Skills

AI/ML Engineering
Python
Spark
Airflow
MLflow
Feature Stores
PyTorch Distributed
Horovod
Ray Train
Amazon SageMaker
Vertex AI
Azure Machine Learning
CI/CD
Model Training
Model Evaluation
Model Deployment

Benefits

Annual Bonus Program
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
Development Courses
People Networks
Mentorship Programs
Leadership Series

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Python
Spark
Airflow
MLflow
Feature Stores
PyTorch Distributed
Horovod
Ray Train
Amazon SageMaker
Vertex AI
Azure Machine Learning
TorchServe
NVIDIA Triton
BentoML
CI/CD
Distributed Training
Feature Engineering
Hyperparameter Optimization
Model Evaluation
Model Serving
A/B Testing
Canary Releases
Shadow Deployment
Automated Rollback
MLOps
Classification
Regression
Ranking

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