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Added 11 mins ago
VT
AI Engineer - Agentic AI, Commercial Banking
Vision Talent Co.
Toronto, ON
- Contract
Role: AI Engineer – Agentic AI, Commercial Banking
Added 11 mins ago
ET
Python Developer
Envision Technology Solutions
Toronto, ON
- Full-time
Set technical direction and best practices that enable other engineers to deliver high-quality work independently.
Added 11 mins ago
MG
Manufacturing Engineer - New Graduate
Matcor-Matsu Group
Brampton, ON
- Full-time
We are looking for a motivated Manufacturing Engineer – New Graduate to join our Engineering team. This is an entry-level opportunity designed for a recent Mechanical or Mechatronics…
Added 11 mins ago
Designer Specialist II
Chemelex
Brampton, ON · Mississauga, ON · Toronto, ON
…efficiency in diverse environments – from industrial plants and data centers to people’s homes. We deliver future-ready technologies, advanced engineering capabilities and local expertise…
Added 25 mins ago
B
Data Engineer
Buyerlink
Victoria, BC
- Full-time
We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight - scalable pipelines, cloud-native data platforms,…
Added 25 mins ago
GV
Lead Manufacturing Specialist 2 - Prod Process and Equip
GE Vernova
Markham, ON
- Full-time
The Markham Industrialization Team is seeking a highly technical and process-oriented Manufacturing Process Engineer to manage the full lifecycle of our manufacturing processes. This role…
Added 25 mins ago
IL
Advanced Quality Engineer
Invesco Ltd.
Charlottetown, PE
- Full-time
The Advanced Software Quality Assurance (SQA) Analyst is responsible for designing, developing, and executing complex test strategies to ensure high‑quality software releases. This role…
Added 25 mins ago
H
Software Applications Engineer 4
HP
Vancouver, BC · Mississauga, ON
- Full-time
…they are delivered on time, within budget, and according to quality standards. The role identifies potential risks and challenges in software projects and implement strategies to mitigate…
Added 40 mins ago
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Senior Project Manager - Civil
Accenture Construct
Toronto, ON
- Full-time
At Accenture Construct, that's the job. You'll help deliver the data centers, power grids, rail networks, factories and public infrastructure that keep communities moving - smarter, safer…
Added 40 mins ago
B
Senior Machine Learning Engineer
BuzzClan
Toronto, ON
- Contract
Ability to analyze and visualize datasets, identify data distribution differences, and ensure data quality for reliable model performance.
Added 40 mins ago
IA
Sr. AI Data Platform Engineer (FinOps Reporting)
IT Accel, Inc.
Toronto, ON
- Full-time
Ensure data quality, lineage, reconciliation, documentation, controls, and auditability across FinOps data assets.
Added 40 mins ago
CT
Lead QA Engineer
Cosmo Technologies
Toronto, ON
- $95,000 to $130,000 CAD / year
- Full-time
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Added 40 mins ago
HO
BI Analytics Engineer
Hydro One
Toronto, ON
- $80 to $90 CAD / hour
- Contract
We are seeking a BI / Analytics Engineer to support the data, semantic model, and reporting components of contact center analytics solutions built on Microsoft Fabric and Power BI.
Added 40 mins ago
PR
Corporate Planning Engineer
Parex Resources
Calgary, AB
- Full-time
Our Capital Markets & Corporate Planning team is seeking an Engineer with Operations and Development Planning background, to report to the Team Lead Corporate Planning, in the capacity of…
Added 40 mins ago
W
Ingénieur en amélioration continue / Continuous Improvement Engineer - French
Wonderbrands
Gatineau, QC
- Full-time
Reporting to the team leader of the continuous improvement engineer, the continuous improvement engineer will initiate and lead the execution of projects related to the standardization of…
Added 40 mins ago
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IT & Systems Manager (AI-First)
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Calgary, AB
- Full-time
You'll lead our small technical team: our AI and internal tools developer, a contract AI engineer, and the app developers we're hiring now. You'll set the rules for how we build and review…
Added 40 mins ago
C
Lead QA Engineer
COSMO
Remote, Canada
- $95,000 to $130,000 CAD / year
- Full-time
- Remote
As Lead QA Engineer, you will own the overall quality strategy for our hardware, firmware, mobile apps, cloud services and AI‑powered features. You’ll combine hands-on testing (manual and…
Added 56 mins ago
W
Ingénieur en amélioration continue / Continuous Improvement Engineer
Wonderbrands
Gatineau, QC
- Other
Reporting to the team leader of the continuous improvement engineer, the continuous improvement engineer will initiate and lead the execution of projects related to the standardization of…
Added 56 mins ago
AC
Senior Presales Solutions Architect, AWS
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- Full-time
Position data governance, cataloguing, and quality across the AWS estate, and design capacity, workload isolation, and cost-management models that keep analytics spend predictable.
Added 1 hour ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
The Service team is currently seeking a Software engineer/designer to specialize in resolving service issues with a focus on Injection Molding Machine controls, including servo drive and…
Added 1 hour ago
P
Senior Data Warehouse Developer
Pinnacle
Toronto, ON
- Full-time
As a senior data engineer, you will design, implement, and optimize the full-stack data infrastructure - from Snowflake clusters setup to data ingestion, transformation and report…
Added 1 hour ago
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Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You’ll assess data landscapes, apply data quality…
Added 1 hour ago
EN
Program Manager
Extreme Networks
Toronto, ON
- Full-time
Manage executive decision-making on trade-offs (scope vs. schedule vs. quality) with full context
Added 1 hour ago
T
AI/ML Engineer
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Vancouver, BC
- Full-time
…will work on models that turn physiological and behavioral data into safe, structured outputs that power Mimik’s member…
Added 1 hour ago
P
Engineer In Training
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Milton, ON
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Engineering Administrator responsibilities are to liaison between engineering and quality to implement and articulate manufacturing processes / workflows and to file and maintain…

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Full-time

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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.

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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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