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Added 10 days ago
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Software Developer Full Stack / Backend I (Co-op) - Canada
Cisco
Calgary, AB
- Full-time
As a Software Developer Co-op, you will design, develop, and test software features across web applications, cloud microservices, and distributed platforms. Collaborate with agile…
Added 10 days ago
AP
Senior Manager, Forward deployed Decision Scientist
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
Use healthcare data sources, including claims, specialty pharmacy, CRM and other real-world datasets, to generate actionable insights.
Added 10 days ago
SM
Python Developer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking an experienced Python Developer with 8+ years of experience to design, develop, and maintain software solutions focused on Python programming, data analysis, and large-scale…
Added 10 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 11 days ago
CS
Software Developer
Cronometer Software Inc
Revelstoke, BC
- Full-time
We are looking for an experienced software developer to join our Core Data Team. Core Data is a high-impact team powering everything data-related at Cronometer, from nutrition ontology and…
Added 11 days ago
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ML Developer
Wiraa
Canada
- $115,000 to $120,000 CAD / year
- Full-time
We are seeking a dedicated and skilled Machine Learning Developer to join our software team. This role is pivotal in designing, developing, and deploying machine learning models that…
Added 11 days ago
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Principal SerDes System/DSP Design Engineer
Ciena
Ottawa, ON · ON
- $126,100 to $201,500 CAD / year
- Full-time
…pioneering optical IMDD systems to power tomorrow’s networks. Our engineering team lives at the intersection of high-performance DSP design, system modeling, and optical…
Added 11 days ago
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SoC Clock & Power Management Validation Lead, Staff (AI Accelerator Platform)
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > ASICS Engineering
Added 11 days ago
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System Validation Lead, Staff (AI Accelerator Platform)
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > ASICS Engineering
Added 11 days ago
MD
Pub Util Rates Analyst 3 or 4
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
A Bachelor's degree in Environmental Science, Planning, Public Policy, Economics, Statistics, Mathematics, Electrical Engineering, Pre-Law, or related field is equivalent to one (1) year of…
Added 11 days ago
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Lead Software Engineer - Enterprise Applications
Citi
Mississauga, ON
- Full-time
Architecture: Experience designing API‑first, microservices‑based and event‑driven architectures, including data engineering patterns for AI systems.
Added 11 days ago
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Analytics Engineer
Create Music Group
Canada
- $90,000 to $110,000 CAD / year
The Analytics Engineer will be part of our Analytics & Insights team and partner closely with stakeholders and internal data teams to translate business needs into scalable analytics…
Added 11 days ago
NB
Senior Data Scientist
National Bank of Canada
AB · Edmonton, AB
- Full-time
science, engineering, data science, statistics, or another related field,
Added 11 days ago
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Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 11 days ago
UT
Développeur(euse) DevOps senior(e) | Senior DevOps Developer
Unity Technologies
Montreal, QC · CAN-Montreal
- Full-time
Added 11 days ago
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Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and cloud…
Added 11 days ago
AA
Services Business Applications Owner / Responsable des Applications pour Services
Airbus Aircraft
Montreal, QC
- Full-time
Atout : Connaissances avancées python, sql+, java, html, skywise et méthodologie AGILE.
Added 11 days ago
OT
Senior Software Developer (Microsoft 365 & Azure Integrations)
Open Text Corporation
Richmond Hill, ON
- Other
We are looking for a Senior Software Developer to design and build the integration layer between OpenText Content Management and the Microsoft ecosystem, including Microsoft Teams,…
Added 11 days ago
C
Software Developer Full Stack / Backend I (Co-op) - Canada
Cisco
Montreal, QC
- Full-time
As a Software Developer Co-op, you will design, develop, and test software features across web applications, cloud microservices, and distributed platforms. Collaborate with agile…
Added 11 days ago
C
Software Developer Full Stack / Backend I (Co-op) - Canada
Cisco
Montreal, QC · Saint-Laurent, QC
- Full-time
As a Software Developer Co-op, you will design, develop, and test software features across web applications, cloud microservices, and distributed platforms. Collaborate with agile…
Added 11 days ago
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Data Engineer
DarkVision
North Vancouver, BC
- Full-time
Strong proficiency in Python for data manipulation and analysis.
Added 11 days ago
GD
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
General Dynamics Missions System International
Ottawa, ON
- Internship
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 11 days ago
GD
Co-op Winter 2027 - Systems Integration, Verification, and Validation - 8-12 months
General Dynamics Missions System International
Ottawa, ON
- Internship
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 11 days ago
OT
Architect
Open Text Corporation
Waterloo, ON
- Other
…delivering projects - it’s an opportunity to shape how global engineering leaders manage critical information across complex asset lifecycles. As a Technical Architect, you will design and…
Added 11 days ago
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AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…across the full model lifecycle from dataset curation, feature engineering, and model training through evaluation, deployment, and production monitoring. You will contribute to meaningful…

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: Oct 31, 2026
Posting language: English
Posted: Oct 1, 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, 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 engineering teams.

Requirements

A bachelor's degree in computer science, machine learning, statistics, or a related field, or equivalent experience, is required; a master's degree in machine learning or AI is beneficial. The role calls for 4–8 years of AI/ML engineering experience, production ML system ownership, expertise in training and deployment strategies, and experience with ML tools, cloud platforms, CI/CD, and MLOps standards.

Skills

Python
Spark
Airflow
MLflow
PyTorch Distributed
Horovod
Ray Train
Amazon SageMaker
Vertex AI
Azure Machine Learning
TorchServe
NVIDIA Triton
BentoML
CI/CD
A/B Testing
Model Training and 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
Career Development
Development Courses
People Networks
Mentorship Programs
Leadership Programs

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
A/B Testing
Canary Releases
Shadow Deployment
Automated Rollback
Distributed Training
Model Serving
Feature Engineering
Hyperparameter Optimization
Model Evaluation
MLOps
Data Governance
Responsible AI
Retail

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