Jobs in Canada

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Added 9 mins ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
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…
Added 9 mins ago
O
Lead Principal Platform Software Engineer
Oracle
Toronto, ON
- $123,900 to $203,600 CAD / year
Resolves and may troubleshoot highly complex and systematic issues requiring innovation related to application programming interface (API) functionality and integration.
Added 38 mins ago
C
Senior Software Developer- Cloud & Data Platforms
CGI
Halifax, NS
- Full-time
CGI is seeking a Senior Software Engineer - Cloud & Data Platforms to join our team and contribute to the design, development, and delivery of scalable, cloud-based applications and…
Added 54 mins ago
Senior Manager, Forward Deployed AI Engineer
Clearsulting
Canada
Design, build, and deploy end-to-end agentic AI applications, including orchestration, APIs, backend services, user interfaces, and retrieval pipelines that ground AI outputs in trusted…
Added 1 hour ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Vancouver, BC
- Full-time
The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights…
Added 1 hour ago
Senior Software Engineer - iOS
OpenTable
Toronto, ON
…network of over 25 million diners. In this role, you will build and evolve the mission-critical native iOS application that enables restaurant hosts, servers, managers, and owners to…
Added 2 hours ago
SC
Technical Specifications Coordinator
SYSTRA Canada
Montreal, QC
- Full-time
Reporting to the workstream Design Director and working in close collaboration with discipline leads, system engineering teams, civil infrastructure, rail systems, procurement, and project…
Added 3 hours ago
MC
AI & Automation Developer
Morgan Construction and Environmental Ltd.
AB · Edmonton, AB
- Full-time
Morgan Construction and Environmental Ltd. (MCEL) is building an integrated digital operating platform across construction and environmental field operations. Working alongside MCEL's AI…
Added 4 hours ago
A
Concepteur Ou Conceptrice Logiciel Principal (E)
Actalent
Montreal, QC
- $60 to $85 CAD / hour
- Contract
Vous travaillerez principalement sur site, avec une présence attendue trois jours par semaine dans un établissement moderne récemment aménagé
Added 4 hours ago
SE
Senior Engineer I, Offer Quality
Schneider Electric
Richmond, BC
- $91,200 to $136,800 CAD / year
- Full-time
…products perform in real-world conditions. You'll analyze field data and customer-reported issues to identify recurring problems, determine where further investigation is needed, and…
Added 5 hours ago
A
Global Information Security Architect
Affinity
Vancouver, BC
- Full-time
We are seeking a highly motivated and experienced Global Information Security Architect to join a global information security team. The successful candidate will be responsible for…
Added 5 hours ago
S
Senior Full-Stack Engineer
Speer
Remote, Canada
- $80,000 to $120,000 CAD / year
- Full-time
- Remote
Frontend Collaboration: Work closely with frontend developers and UX/UI designers to build visually appealing, functional interfaces and ensure seamless integration of application elements.
Added 5 hours ago
KT
Account Executive – B2B Technology Solutions
KSPACE TECHNOLOGIES HQ
Remote, Canada
- $45,000 to $55,000 CAD / year
- Full-time
- Remote
Our expertise spans software engineering, artificial intelligence, enterprise systems, IT infrastructure, cloud technologies, data analytics, and strategic technology advisory.
Added 6 hours ago
T
Sr. Backend Engineer - Node.JS
Telna
ON · Ontario, Canada
- Full-time
…eSIM products. These services power consumer travel eSIM apps and white-labeled apps and web experiences for mobile network operators, all built on a shared multi-tenant platform. They…
Added 6 hours ago
C
Senior Backend Engineer, LLM Systems
CleverConsult
Canada
- Full-time
You must be based in Canada
Added 7 hours ago
Q
Senior Engineer - Distribution
Qualus
Toronto, ON
- Full-time
Qualus is a leading pure-play power solutions firm and innovator at the forefront of power infrastructure transformation, with differentiated capabilities across grid modernization,…
Added 7 hours ago
K
FULLSTACK ENGINEER
Kablamo
Toronto, ON
- Full-time
Kablamo is an impact-driven software engineering company (teamkablamo.com). We bring engineering, data, and AI expertise to solve complex problems with the intellectual horsepower to know…
Added 7 hours ago
TC
Kafka Engineer
Tata Consultancy Services
Montreal, QC
- $100,000 to $110,000 CAD / year
- Full-time
Understanding of AI/ML concepts and their integration within enterprise systems.
Added 7 hours ago
Senior Quality Engineer
Capgemini
Mississauga, ON
The Senior Quality Engineer is responsible for ensuring the quality, reliability, performance, and security of software applications through the design and execution of comprehensive…
Added 7 hours ago
AI
SharePoint Developer / Transformation Lead
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Florenceville-Bristol, NB
- Full-time
Develop SharePoint lists, libraries, pages, content types, permission models, workflows, and integration components as per project standards.
Added 7 hours ago
H
Senior QA Engineer
Hays
Vancouver, BC
- Contract
The client’s digital team is looking for a Senior QA Engineer with experience across our in-store Point-of-Sale (POS) and mobility stack, including Oracle Xstore and Xmobile, to support…
Added 8 hours ago
P
Software Developer
Priceline
Toronto, ON
- Full-time
…They handle hundreds of millions of searches a day, collecting and parsing data from thousands of partners to find the best deals for our customers. As a Software Developer on the Itinerary…
Added 8 hours ago
Associate Director OR Senior Manager - Data Strategy & Data-Enabled Solutions - Vancouver
EY
Vancouver, BC
We are looking for a senior data professional who can move comfortably between strategy and execution. The successful candidate will be expected to help set direction while also working…
Added 8 hours ago
MC
AI & Automation Developer
Morgan Construction & Environmental Ltd.
AB · Edmonton, AB
- Other
Morgan Construction and Environmental Ltd. (MCEL) is building an integrated digital operating platform across construction and environmental field operations. Working alongside MCEL's AI…
Added 8 hours ago
GL
Lead Process Engineer
Gay Lea Foods
Hamilton, ON
- Full-time
The Lead Process Engineer plays a strategic role in driving operational excellence for a facility or manufacturing network through the development, implementation, and optimization of…

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 11, 2026
Posting language: English
Posted: Nov 11, 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 on LinkedIn 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, apply deployment practices such as A/B testing and canary releases, 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, model training strategy, deployment automation, software engineering practices, and experience with 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
Distributed Training
MLOps

Benefits

Annual Bonus
Equity Offerings
Career Development
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
Mentorship Programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
End-To-End ML Systems
Dataset Curation
Feature Engineering
Model Training
Hyperparameter Optimization
Model Evaluation
Model Deployment
Production Monitoring
Classification
Regression
Ranking
Generative Models
Retrieval
Distributed Training
CI/CD
A/B Testing
Canary Releases
Shadow Deployment
Automated Rollback
Model Serving
Latency Optimization
Throughput Optimization
Cost Optimization
Cloud ML Platforms
MLOps Standards
Automated Testing
Service Reliability
Data Governance

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Work requirements

Jobs in Canada