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Added 30 mins ago
J
Senior Software Developer (C#/.NET and React)
Jobgether
Canada
- Up to $120,000 CAD / year
- Full-time
…and next steps. Our partner is looking for a Senior Software Developer (C#/.NET and React) based in…
Added 45 mins 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 45 mins ago
S
Utilities Manager - ALTO
SYSTRA
Montreal, QC
- Full-time
The Utilities Manager will support with developing & providing leadership to the team on the wide range of utilities work required to be undertaken to enable the main electrification and…
Added 1 hour ago
H
VMware Infrastructure Specialist
HCLTech
AB · Edmonton, AB
- $89,000 to $117,000 CAD / year
- Full-time
We are seeking a senior VMware Infrastructure Specialist to support a large-scale VMware modernization initiative. This role will be responsible for planning, designing, and implementing…
Added 2 hours ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…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…
Added 3 hours ago
C
Senior Salesforce Developer
CGI
Victoria, BC
- Full-time
CGI's Vancouver Salesforce practice is seeking a Senior Salesforce Developer to design and build robust, scalable solutions on the Salesforce platform for our public sector and healthcare…
Added 3 hours ago
A
Project Management Lead - Talent Pipeline
APPLY
Canada
- Full-time
Added 4 hours ago
DC
Structural (Bridges) Drafter
Dillon Consulting Limited
Brandon, MB · Winnipeg, MB
- Full-time
…engineers, planners, scientists, and technical and administrative support staff in the development of detailed design contract…
Added 4 hours ago
O
Sr. Cloud Applications Developer (AS/400)
OpenText
Waterloo, ON
- Full-time
…availability, operational stability, system performance, and data integrity while supporting ongoing modernization and automation initiatives. This position requires a strong production…
Added 4 hours ago
O
Sr. Cloud Applications Developer (AS/400)
OpenText
Richmond Hill, ON
- Full-time
…availability, operational stability, system performance, and data integrity while supporting ongoing modernization and automation initiatives. This position requires a strong production…
Added 4 hours ago
O
Sr. Cloud Applications Developer (AS/400)
OpenText
Mississauga, ON
- Full-time
…availability, operational stability, system performance, and data integrity while supporting ongoing modernization and automation initiatives. This position requires a strong production…
Added 5 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Contract
The D365 F&O Functional Analyst is responsible for the day-to-day administration, support, and continuous improvement of the Dynamics 365 Finance & Operations platform. This role manages…
Added 5 hours ago
GA
Solutions Engineer Intern
Geekplus America Inc
Markham, ON
- Internship
…role is ideal for engineering student who enjoys combining data analysis, engineering design, automation, and problem solving to develop real-world…
Added 5 hours ago
M
AVP Strategy - Intermediary, Product, Institutional
Manulife
Toronto, ON
- Full-time
Analyze industry dynamics, investor, advisor and institutional client needs, consultant and platform trends, competitor actions, product vehicles, pricing developments and emerging business…
Added 6 hours ago
H
Global Payroll Transformation Business Analyst
Hays
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…processes, strengthening governance and controls, improving data quality and visibility, and reducing operational complexity across our global workforce. A key objective of the program is…
Added 6 hours ago
F
Senior Project Logistics Specialist
Fluor
Vancouver, BC
- Full-time
Collaborate across all disciplines, including Material Management, Supplier Quality Surveillance (SQS)/Quality, Engineering, Project Data & Document Management (PDDM), and Construction
Added 6 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 6 hours ago
E
AI Developer Test Management
Ericsson
Ottawa, ON
- Full-time
…delivery, strengthen software quality, and create a better developer…
Added 6 hours ago
NE
Senior QA Analyst (12 months Contract)
Nelson Education LTD
Remote, Canada
- Contract
- Remote
…innovative solutions, including Edwin, our digital learning platform, provide curriculum aligned content that support diverse learning styles while fostering critical thinking, creativity,…
Added 7 hours ago
H
Senior Java Engineer - Kafka & Distributed Systems
Hays
Toronto, ON
- Contract
…Distributed Systems with strong Core Java skills, proven expertise in data streaming (e.g., Apache Kafka, Apache Flink), and hands-on delivery on Google Cloud Platform (GCP). You’ll design…
Added 7 hours ago
TT
Software Architect
trane technologies
Montreal, QC
- Full-time
…combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or…
Added 7 hours ago
A
Senior Manager Solution Architect
Avanade
Toronto, ON
- Full-time
The GSAD Solution Architect will take a lead in providing sales support and solution configuration on large, complex, Consulting and Managed Services deals and working with other SAs within…
Added 7 hours ago
C
Artificial Intelligence Architect
Coforge
Canada
- Full-time
Design and build AI-Enhanced Software Engineering Platform to accelerate software development and improve developer effectiveness, code quality, and engineering consistency. This is a…
Added 7 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Vancouver, BC
- Full-time
Partner with data engineering to support Salesforce data pipelines and ensure APIs, data models, permissions, integrations, and platform services securely consume enterprise data for…
Added 8 hours ago
V
Staff Information Security Engineer - Threat Detection & Response
Visier
Remote, Canada
- Full-time
- Remote
…advanced engineering and AI, directly safeguarding our multi-cloud platform, corporate identity, and sensitive customer data from sophisticated global threats. Your work will ensure our…

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

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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