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Added 1 hour ago
Bilingual Data Engineer
CMHC - SCHL
Ottawa, ON · Montreal, QC
Join CMHC’s Information Technology team, in the Bilingual Data Engineer position. You will design, build and support reliable data pipelines and reusable data assets on Azure and…
Added 2 hours ago
RB
Senior Platform Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Added 2 hours ago
RB
2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
Royal Bank of Canada
Toronto, ON
- Full-time
…develop innovative trade execution algorithms and advanced analytics solutions. This role presents a unique opportunity to contribute to cutting-edge research and development in…
Added 2 hours ago
CS
Instructor, AI and Machine Learning with Python (Mississauga)
Circuit Stream
Mississauga, ON
- $1,650 CAD / week
- Contract
We’re looking for a software engineer, data analyst, AI practitioner, educator, or Masters/PhD student who can make artificial intelligence, machine learning approachable for teenagers and…
Added 2 hours ago
CS
Instructor, AI and Machine Learning with Python (Markham)
Circuit Stream
Markham, ON
- $1,500 to $1,650 CAD / week
- Contract
We’re looking for a software engineer, data analyst, AI practitioner, educator, or Masters/PhD student who can make artificial intelligence, machine learning approachable for teenagers and…
Added 4 hours ago
A
Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's…
Added 4 hours ago
TT
Developer – Large Audio Language Models (LALMs) & End-to-End Speech-to-Speech Systems
TOSAN TECHNO | توسنتکنو
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated AI Engineer to design, develop, and deploy advanced solutions using Large Audio Language Models (LALMs) and end-to-end Speech-to-Speech (S2S)…
Added 6 hours ago
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AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…and delivery of a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon’s vertically integrated retail ecosystem, embedding strong data…
Added 6 hours ago
O
Finance Operations Analyst (EVC)
omnie
Canada
- Full-time
This role sits at the intersection of accounting operations and light data work. You don't need to be an engineer, but you do need to be comfortable living in Excel and Power Query, reading…
Added 7 hours ago
R
2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
RBC
Toronto, ON
- Full-time
…develop innovative trade execution algorithms and advanced analytics solutions. This role presents a unique opportunity to contribute to cutting-edge research and development in…
Added 8 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Contract
Maintain and develop Power BI reports and dashboards to support business reporting and analytics needs.
Added 8 hours ago
GA
Solutions Engineer Intern
Geekplus America Inc
Markham, ON
- Internship
Added 9 hours ago
Q
Optical Systems Validation Engineer
Qualcomm
Ottawa, ON
- Full-time
Added 10 hours ago
Q
Machine Learning Engineer, AI Software (C++)
Qualcomm
Markham, ON
- Full-time
Added 10 hours ago
HI
Senior Data Engineer/ETL Developer
HRbrain Inc.
Toronto, ON
- Full-time
1st Senior Data Engineer, 10+ years Experience
Added 10 hours ago
SI
Data Engineer
Spait Infotech
Canada
- Full-time
Added 10 hours ago
HI
Sr. Data Engineer
HRbrain Inc.
Toronto, ON
- Full-time
We are looking for a Senior Data Engineer to joint their Data & Analytics team within Data & Technology team, reporting directly to the Director of Data & Analytics.
Added 10 hours ago
H
Senior Java Engineer - Kafka & Distributed Systems
Hays
Toronto, ON
- Contract
We’re seeking an experienced Senior Java Engineer - Kafka & Distributed Systems with strong Core Java skills, proven expertise in data streaming (e.g., Apache Kafka, Apache Flink), and…
Added 10 hours ago
I
Senior DevOps Engineer
iCOUNTER
Remote, Canada
- $136,000 to $170,000 CAD / year
- Full-time
- Remote
As a DevOps Engineer, you’ll be a hands-on owner of the infrastructure and delivery systems behind our platform. That means architecting scalable, secure cloud environments, primarily on…
Added 10 hours ago
TT
Software Architect
trane technologies
Montreal, QC
- Full-time
…Nuvolo, and more - combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're…
Added 11 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Vancouver, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 11 hours ago
TU
Assistant Professor (tenure-track)
The University of British Columbia
Vancouver, BC
- Full-time
…be registered or be eligible to register as a Professional Engineer (P.Eng.) with the Engineers and Geoscientists of British Columbia (EGBC). Registration is required within five years of…
Added 11 hours ago
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Senior Software Engineer
AspiringIT
Kitchener, ON
- Full-time
Aspiring IT Inc. is seeking an experienced Senior Software Engineer to design, develop, integrate, and maintain scalable software applications and cloud-based systems.
Added 11 hours ago
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Staff Information Security Engineer - Threat Detection & Response
Visier
Remote, Canada
- Full-time
- Remote
…the moments that matter most. As the market leader in people analytics, workforce planning, organizational design, and manager effectiveness solutions, we fuel smarter decision-making for…
Added 11 hours ago
S
AI Engineer (Superhuman Mail) - Canada
Superhuman
Remote, Canada
- $128,000 to $210,000 CAD / year
- Full-time
- Remote

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.

Apply About employer

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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