Jobs in Canada

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Added 20 mins ago
Mobile App Engineer - React Native, Full Stack & AI
KoraHome.ai
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are looking for a mobile engineer who can take ownership of our React Native app across iOS and Android.
Added 20 mins ago
AI Engineer - Agents & Backend
KoraHome.ai
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are looking for an AI engineer with strong backend development skills to build and improve Kora’s core assistant capabilities.
Added 20 mins ago
DevOps Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
CoreFactor is searching for a DevOps Engineer on a permanent/full-time basis.
Added 20 mins ago
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
CoreFactor is searching for a Senior AI Engineer on a permanent/full-time basis.
Added 50 mins ago
Senior Software Engineer- SATCOM
Photon-IV
Canada
Full-time
The Senior Software Engineer is a contract, hybrid role based in Canada, with a mix of on-site collaboration and work-from-home flexibility. This role is responsible for leading the design,…
Added 50 mins ago
DevOps Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
Full-time
CoreFactor is searching for a DevOps Engineer on a permanent/full-time basis.
Added 50 mins ago
Senior AI Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
Full-time
CoreFactor is searching for a Senior AI Engineer on a permanent/full-time basis.
Added 50 mins ago
Senior DevOps Engineer
Perceptic
Engineer, BC
Full-time
A single drug can take more than a decade and billions of dollars to reach a patient, and the systems we build are meant to compress that timeline. They run inside some of the most…
Added 1 hour ago
Junior Solutions Engineer
Pontosense
Toronto, ON
Full-time
…get agencies onto our technology, run integrations with their systems, and stay close to the customer through the life of the account. You bring what you learn back to the product team so…
Added 1 hour ago
Senior AI Engineer
Perceptic
Engineer, BC
Full-time
AI-powered scientific workflows: agentic systems, retrieval, tool use, and the evaluation loops that keep them honest
Added 1 hour ago
Lead DevOps Engineer
Perceptic
Engineer, BC
Full-time
A single drug can take more than a decade and billions of dollars to reach a patient, and the systems we build are meant to compress that timeline. They run inside some of the most…
Added 1 hour ago
Power Plant Engineer, Facilities
Manufacturing Job Site
Guelph, ON
Internship
Under the direction of the Facilities Manager, the Power Plant Engineer is responsible for the inspection, maintenance, troubleshooting, and repair of the facility’s main infrastructure…
Added 1 hour ago
Junior Solutions Engineer
Pontosense
Toronto, ON
Full-time
…get agencies onto our technology, run integrations with their systems, and stay close to the customer through the life of the account. You bring what you learn back to the product team so…
Added 1 hour ago
Software Developer, Robotic Data & Deliveries
Mecka
Richmond Hill, ON
$150,000 to $200,000 USD / year
Full-time
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and…
Added 1 hour ago
Senior Product Engineer
Mecka
Richmond Hill, ON
$180,000 to $250,000 USD / year
Full-time
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and…
Added 2 hours ago
AMR Systems Engineer
Dematic
Montreal, QC
Full-time
The Autonomous Mobile Robot (AMR) Systems Engineer develops the design and implementation of systems that integrate AMR hardware and associated software. The role involves working closely…
Added 2 hours ago
Python Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a Python Engineer, New Grad, you will contribute to backend services, data pipelines, APIs, and AI-powered workflows used by real job…
Added 2 hours ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 2 hours ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 2 hours ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 2 hours ago
AI Engineer, Mid Level
Jobright.ai
Canada
Full-time
…and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including…
Added 2 hours ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…
Added 2 hours ago
Desktop Support Engineer (Level 2)
NSC Global
Brantford, ON
Other
NSC Global is currently looking for a Desktop Support Engineer to join our growing company.
Added 2 hours ago
Power Electronics Controls Engineer
Daanaa
Vancouver, BC
Full-time
We are growing here at Daanaa and are looking for a Power Electronics Controls Engineer to join our R&D team. In this role, you will develop and design breakthrough control technologies for…
Added 4 hours ago
Software engineer
ENGICO s.r.l.
Engineer, BC
Contract
The figure will be responsible for programming and developing software for PLC and Motion Control systems.

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 22, 2026
Posting language: English
Posted: Sep 27, 2026

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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 AI/ML systems, including data preparation, feature engineering, model training and evaluation, deployment, and production monitoring. Build scalable training and serving infrastructure, automate deployment and testing practices, 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, training strategy design, deployment lifecycle expertise, and familiarity with common ML tools and cloud platforms.

Skills

AI/ML Engineering
Python
Spark
Airflow
MLflow
Feature Stores
PyTorch Distributed
Horovod
Ray Train
Amazon SageMaker
Vertex AI
Azure Machine Learning
CI/CD
Model Training
Model Evaluation
Model 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
Development Courses
People Networks
Mentorship Programs
Leadership Series

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
Distributed Training
Feature Engineering
Hyperparameter Optimization
Model Evaluation
Model Serving
A/B Testing
Canary Releases
Shadow Deployment
Automated Rollback
MLOps
Classification
Regression
Ranking

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