Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 11 hours ago
L
Senior AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow, MLFlow , feature stores, cloud ML platforms
Added 21 hours ago
GC
[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Game Companies
Montreal, QC
- Full-time
Filled with quests, exploration, and engaging activities featuring iconic Disney and Pixar characters, Disney Dreamlight Valley is an original Gameloft Montreal production created by a…
Added 22 hours ago
Staff Machine Learning Engineer, AdTech
HelloFresh
Toronto, ON
Production proficiency in Python and SQL, with strong fundamentals in software design, API development (e.g., FastAPI), testing, and database optimization.
Added 23 hours ago
TR
Principal Software Engineer / Architect – AI – Legal FDE
Thomson Reuters
Toronto, ON
- Full-time
Expert Python (FastAPI or equivalent), with strong experience in RESTful, async, and event-driven architectures.
Added 1 day ago
S
Computer Vision Solutions Leader
SoftServe
Canada
- Full-time
Hands-on experience with Python and ML frameworks such as PyTorch, Pandas, NumPy, and cloud-based AI toolsets
Added 1 day ago
Senior Data Scientist, Customer Value Forecasting
HelloFresh
Toronto, ON
This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week
Added 1 day ago
Software Dev Engineer
Amazon
Toronto, ON
- Demonstrated experience with at least one programming language such as C, C++, Python, Rust, or Java
Added 1 day ago
AC
RQ11580 - Software Developer - Senior
A.T. Consulting & Recruiting Inc.
Toronto, ON
- Contract
· Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
Added 1 day ago
C
AI/ML Layout Engineering Intern (Winter 2027)
Ciena
Ottawa, ON
- Full-time
The must haves:
Added 1 day ago
E
Software Developer
Ericsson
Ottawa, ON
- Full-time
Experience with Linux and Python or Bash scripting.
Added 1 day ago
JG
AI Developer / DevOps Engineer
J&M Group
Calgary, AB
- Full-time
The ideal candidate has 10+ years of DevOps experience with strong expertise in cloud architecture, CI/CD, Infrastructure as Code, and Python-based automation.
Added 1 day ago
AM
Principal Software Development Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
At this level you combine hands-on full-stack engineering with technical and strategic leadership: you influence roadmap and architecture, partner with product and customers, and raise the…
Added 1 day ago
AI
SAS/Python Developer
Apptoza Inc.
Toronto, ON
- Contract
Toronto, ON Hybrid (2 days per week in-person at Toronto office preferred)
Added 1 day ago
CL
Data Scientist
CoreTek Labs
Mississauga, ON
- Contract
Role: Lead Data Scientist with AI/ML - (Healthcare life science/Medical Device)
Added 1 day ago
Staff Research Scientist (Quantum for AI-Accelerated Materials Discovery, 2-year term)
University of Toronto
Toronto, ON
…discovery of new materials and molecules. This scientist will work with a team of scientists with expertise in the use of AI and automation for materials discovery and a team of software…
Added 1 day ago
Senior Staff Scientist (Quantum for AI-Accelerated Materials Discovery)
University of Toronto
Toronto, ON
…discovery of new materials and molecules. This scientist will work with a team of scientists with expertise in the use of AI and automation for materials discovery and a team of software…
Added 1 day ago
Staff Scientist (Quantum for AI-Accelerated Materials Discovery)
University of Toronto
Toronto, ON
…discovery of new materials and molecules. This scientist will work with a team of scientists with expertise in the use of AI and automation for materials discovery and a team of software…
Added 1 day ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 1 day ago
AI
Senior AI & DevOps Engineer – Azure, AWS & Generative AI
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Calgary, AB
- Full-time
Hands-on scripting skills (Python, Ruby, Perl, etc.).
Added 1 day ago
Technology - Brokerage Engineering - Senior Data Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 1 day ago
SM
RQ11580 – Software Developer – Senior (Onsite)
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Onsite Requirement: 5 days per week
Added 1 day ago
T
Senior Full Stack AI Developer
Teqfocus
Toronto, ON
- Contract
We are looking for an experienced Senior Full Stack AI Developer with strong expertise in Python, modern full stack development, and Artificial Intelligence (AI) to join our team in Toronto.
Added 1 day ago
CC
RQ11580 - Software Developer - Senior
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
· Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
Added 1 day ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms
Added 1 day ago
R-
Director, Data & Analytics
RCL - Reitmans Canada Ltd/Ltée
Montreal, QC
- Full-time
Experience with common machine learning libraries in R, Python, Spark is an asset

lululemon

Senior 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
Experience: 6-10 years of experience building and delivering AI/ML solutions into production
Posting language: English
Posted: Nov 12, 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. 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 a Senior AI/ML Engineer, you will lead the delivery of scalable AI/ML solutions to business problems. You will build, deploy, scale and maintain AI/ML solutions. You will apply engineering best practices, implement rigorous evaluation frameworks, and design MLOps and observability standards. You will be the technical authority for ML engineering challenges from setting up model training and fine-tuning to architectures and system design for serving AI/ML inference solutions in production. You will help drive AI/ML engineering excellence through mentorship, design reviews, and platform investment. In this role, you will own technical delivery and partner with applied scientists, software engineers, and product teams to realize AI capabilities into production.

Select Responsibilities Include

Lead delivery of applied AI/ML solutions, including data pipelines, model training and experimentation infrastructure, evaluation systems, production-ready pipelines and APIs, and ML Ops for monitoring models or solutions in production.
Define ML engineering standards for model development, evaluation, and deployment; implement reusable training pipeline templates
Design and implement model evaluation systems and tooling including benchmark suites, human evaluation workflows, and online experiment platforms in partnership with applied science teams
Lead architecture and engineering of LLM and GenAI systems including RAG pipelines, fine-tuning infrastructure, and agentic frameworks
Build andmaintainAI observability frameworks covering model performance, data drift, training health metrics, and responsible AI monitoring
Build andoperatedistributed training pipelines for advanced ML and GenAI models
Implement scalable model serving architectures for real ‑ time and batch inference
Developing reusable MLOps components to support experimentation, deployment, monitoring, and rollback
Partner with AI/ML scientists to productionize models while meeting accuracy, performance, reliability, and responsible AI requirements

Qualifications

Bachelor's or Master’s degree in computer science, machine learning, or related technical field; Master's or equivalent experience beneficial
6-10 years of experience building and delivering AI/ML solutions into production
Demonstrated ability to define software engineering standards for AI/ML systems across the domain including code quality, testing requirements, service design patterns, and API contract guidelines
Demonstrated ability to define model implementation and training standards including architecture patterns, evaluation criteria, and responsible AI assessment frameworks adopted across the domain
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 achievegreat 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, akadoesn’ttake yourself too seriously.

Additional Notes

Authorization to work in the 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 $176,760-$232,000   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, 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

Lead the design, development, deployment, and maintenance of scalable AI/ML solutions, including data and training pipelines, evaluation systems, LLM and GenAI applications, and production inference services. Establish engineering, MLOps, and observability standards while partnering with scientists, engineers, and product teams to deliver reliable and responsible AI capabilities.

Requirements

Requires a bachelor's or master's degree in computer science, machine learning, or a related technical field, with a master's degree or equivalent experience beneficial. Candidates should have 6–10 years of production AI/ML experience and demonstrated ability to establish engineering, model development, evaluation, and MLOps standards; experience with Python, Spark, Airflow, MLflow, feature stores, and cloud ML platforms is also expected.

Skills

AI/ML Engineering
Python
Spark
Airflow
MLflow
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
MLOps
Distributed Training
Model Evaluation
Model Serving
Data Pipelines
Cloud ML Platforms
Feature Stores

Benefits

Annual Bonus Program
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
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
Cloud ML Platforms
Generative AI
Large Language Models
Retrieval-Augmented Generation
Fine-Tuning
Agentic Frameworks
MLOps
Distributed Training
Model Serving
Real-Time Inference
Batch Inference
Data Pipelines
Model Training
Model Evaluation
Benchmark Suites
Human Evaluation
Online Experiments
AI Observability
Data Drift
Responsible AI
Production APIs
Monitoring
Rollback

Report this job

Work requirements

Jobs in Canada