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Added 1 hour ago
Senior Data Engineer - Data Infra (Canada)
Dandy
Remote, Canada
$133,600 to $167,000 USD / year
Full-time · Remote
Dandy is hiring a hands-on Senior Data Engineer to join our rapidly growing venture-backed company. The Data Infrastructure team owns the data platform - ingestion, pipelines, and the…
Added 2 hours ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 2 hours ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 2 hours ago
Observability Engineer
J&M Group
Toronto, ON
Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 10 hours ago
Software Engineer 3 - 2-6years of experience.
Nutanix
Vancouver, BC
$103,000 to $155,000 CAD / year
Full-time
…applications easy. Nutanix simplifies your learning curve on AI-ready infrastructure with Nutanix Cloud Platform for AI (GPT-in-a-Box). This high-performant Machine Learning full-stack…
Added 15 hours ago
Platform Engineer - Kubernetes, GitOps, Flux CD & AI/ML Infrastructure
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
We're seeking a skilled Platform Engineer to deploy and manage AI/ML infrastructure, e.g. LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 17 hours ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital…
Added 18 hours ago
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Corporate IT is seeking an experienced Lead AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 18 hours ago
Senior DevSecOps Engineer
Wissen Technology
Calgary, AB
Full-time
Implement and maintain Infrastructure as Code using Terraform / OpenTofu, CloudFormation, and related tooling
Added 19 hours ago
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 20 hours ago
OBSERVABILITY ENGINEER
Zodiac Solutions, Inc
Halifax, NS
Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 20 hours ago
Senior Data Engineer
TripleLift
Toronto, ON
We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1…
Added 20 hours ago
Senior Data Engineer
Precision AI
Calgary, AB
Full-time
You will build the platform that fixes this. You own how field data gets from the aircraft into a governed, queryable, reproducible asset that our ML engineers can pull training sets from…
Added 20 hours ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Kitchener, ON
In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more…
Added 23 hours ago
AI/ML Platform Engineer (Cloud Infrastructure)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
Position: AI/ML Platform Engineer (Cloud Infrastructure)
Added 23 hours ago
Software Engineer II
Socure
Toronto, ON · Greater Toronto Area, Canada
Full-time
The Agentic AI Foundations team is building the core platform, systems, and primitives that enable Socure to transition from traditional software workflows to agent-native operations. As a…
Added 23 hours ago
Senior Data Engineer
MatchBox Consulting Group
Vancouver, BC
Contract
MatchBox Consulting Group is currently seeking a Senior Data Engineer for a 6 month contract role with a client of ours located in Vancouver.
Added 23 hours ago
Platform Engineer - AI/ML Infrastructure
K&K Global Talent Solutions INC.
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
Position: Platform Engineer - AI/ML Infrastructure
Added 1 day ago
SRE Observability Engineer
Iris Software Inc.
Halifax, NS
Contract
Site Reliability Engineer, Observability Engineer - Work with cloud-native open-source tools to improve the visibility and reliability of self-hosted Kubernetes platform.
Added 1 day ago
Platform Engineer - AI/ML Infrastructure
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 1 day ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
Full-time
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across…
Added 1 day ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
$154,000 to $193,000 CAD / year
Full-time
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across…
Added 1 day ago
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 1 day ago
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
Full-time · Remote
We are hiring a Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference…
Added 1 day ago
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on…

Closed listing

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Job type: Full-time
Closing date: Oct 14, 2026
Posting language: English
Posted: Sep 22, 2026

This opening has closed.

The original listing is kept below for reference.

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About employer

Similar jobs hiring now

Added 1 hour ago
Senior Data Engineer - Data Infra (Canada)
Dandy · Remote, Canada
$133,600 to $167,000 USD / year
Added 6 hours ago
IoT Systems Engineer
Invision AI · Remote, Canada
Added 10 hours ago
Software Engineer 3 - 2-6years of experience.
Nutanix · Vancouver, BC, Canada
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Added 14 hours ago
Senior Software Engineer
Microsoft · Vancouver, BC, Canada

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Original job description

Archived listing. The details below describe a past opening.

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.

About employer

More about this job

Responsibilities

You will design and implement end-to-end AI/ML systems, managing the full model lifecycle from dataset curation to production deployment. Additionally, you will collaborate with cross-functional teams to build scalable training pipelines and ensure model performance meets business requirements.

Requirements

Candidates must have a bachelor's degree in a technical field and 4-8 years of experience in AI/ML engineering. Proven expertise in production-grade ML systems, CI/CD automation, and cloud-based ML platforms is required.

Skills

Machine Learning
Python
Spark
Airflow
MLFlow
PyTorch
SageMaker
Vertex AI
Azure ML
CI/CD
Model deployment
Feature engineering
Distributed training
Model architecture
Data governance
Software engineering

Benefits

Extended health and dental benefits
Mental health plans
Paid time off
Savings and retirement plan matching
Employee discount
Fitness and yoga classes
Parenthood top-up
Development course offerings
Mentorship programs
Annual bonus program
Equity offerings

Visa sponsorship

Not detected in the job text

Keywords

AI/ML Engineer
Machine Learning
Python
Spark
Airflow
MLFlow
PyTorch
SageMaker
Vertex AI
Azure ML
CI/CD
Model deployment
Feature engineering
Distributed training
Model architecture
Data governance
Software engineering
Retail
Data & AI
Analytics
Automation
Triton
BentoML
TorchServe
Ray Train
Horovod
Cloud computing
MLOps
Predictive modeling
Performance apparel

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