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Added 5 hours ago
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 1 day ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…autonomous measurement platform. You'll work across Scala, Java, and Python, with deep expertise in big data technologies (Apache Spark, Kestrel, EMR), AWS infrastructure (Lambda, DynamoDB,…
Added 1 day ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
10+ years of professional software engineering experience with strong Python and SQL, Spark and Databricks SQL are a plus.
Added 1 day ago
Software Developer, Metadata
RBC
Calgary, AB
Full-time
…management and the financial services industry. As a Software Engineer, you’ll be responsible for architecting, building, and maintaining secure, scalable backend services for the critical…
Added 1 day ago
Associate Director - Lead Software Developer
RBC
Toronto, ON
Full-time
We are looking for a highly motivated, top-notch software engineer who is a great team player constantly thinking about quality, maintainability, robustness, and simplicity in all generated…
Added 1 day ago
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
Full-time
At least 6 years of hands-on development experience preferably using at least two or more of the following programming languages: JavaScript, React, Angular/TypeScript, Python, Node.js,…
Added 1 day ago
Senior AI Full‑Stack Engineer
Manulife
Waterloo, ON
Full-time
Strong proficiency in one or more modern programming languages (e.g., Python, JavaScript/TypeScript, Go, Rust) with backend or full‑stack experience.
Added 1 day ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
Citco is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. With more than $1 trillion in assets under administration,…
Added 1 day ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
Citco is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. With more than $1 trillion in assets under administration,…
Added 1 day ago
AI Engineer
Insight
Remote, Canada
Full-time · Remote
Strong C#/.NET skills building production APIs and services, with the ability to work in Python where the AI tooling demands it.
Added 1 day ago
Data Engineer Sr
Insight
Toronto, ON
Full-time
This role is hybrid, with the onsite locations in Montreal, QC, Canada or Toronto, ON, Canada.
Added 1 day ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
This role is hybrid, with the onsite locations in Montreal, QC, Canada or Toronto, ON, Canada.
Added 1 day ago
Associate Director - Lead Software Developer
Royal Bank of Canada
Toronto, ON
Full-time
We are looking for a highly motivated, top-notch software engineer who is a great team player constantly thinking about quality, maintainability, robustness, and simplicity in all generated…
Added 1 day ago
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
Contract
5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads.
Added 1 day ago
Hardware Test Engineer - Contract 3+ Months
Kepler Communications Inc.
Toronto, ON
Contract
…enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler operates the first commercial optical data relay constellation, enabling…
Added 2 days ago
DevOps Manager
Raise
Brampton, ON
Full-time
8+ years of professional software and infrastructure engineering experience, with at least 3 years in a technical leadership or team management role handling distributed engineering teams.
Added 2 days ago
Senior Analytics Engineer
Securian Canada
Waterloo, ON
$100,000 to $130,000 CAD / year
Full-time
As a Senior Analytics Engineer, you'll play a key role in building the trusted analytics foundation that helps shape strategic decisions across Securian Canada. Your work will influence how…
Added 2 days ago
Senior Analytics Engineer
Securian Canada
Toronto, ON
$100,000 to $130,000 CAD / year
Full-time
As a Senior Analytics Engineer, you'll play a key role in building the trusted analytics foundation that helps shape strategic decisions across Securian Canada. Your work will influence how…
Added 2 days ago
Test Engineer
Pacer Group
Montreal, QC
$45 to $48 CAD / hour
Contract
Experience with scripting technologies such as Bash and Python.
Added 2 days ago
Staff Software Engineer
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Toronto, ON
8+ years of experience in software engineering, with a strong focus on full-stack development in modern JavaScript/TypeScript.
Added 2 days ago
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
Contract · Remote
Write clean, object-oriented, and modular production code. Transition models from Python research environments to high-performance serving environments (packaging with ONNX, TensorRT, etc).
Added 2 days ago
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
Full-time
You will be a key technical contributor in PwC’s Cybersecurity Consulting practice. You’ll work closely with managers and other team members to design and implement security solutions (e.g.…
Added 3 days ago
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Toronto, ON
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Added 3 days ago
Python Fullstack Developer
Genpact
Montreal, QC
$70,000 to $80,000 CAD / year
Full-time
We are seeking a hands-on Full Stack Engineer with strong Python and frontend development experience to build technology platforms and business-facing applications. The individual will work…
Added 3 days ago
AI Engineer, Winter 2027 (Co-op/Internship) - 8 months
BMO
Toronto, ON · BMOPLACE
Full-time
As a full-time employee, we would require 3-5 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn.

lululemon

AI/ML Engineer

Vancouver, BC, Canada

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

Apply About employer

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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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