Jobs in Canada

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Added 13 mins ago
T
Staff Engineer, Thermal Design
Tenstorrent
Toronto, ON
- Full-time
…solving hard problems. We are seeking a Staff Thermal Design Engineer to architect and productize advanced cooling solutions for high-performance PCIe cards and multi-chip server systems.…
Added 13 mins ago
TS
Structural Engineer - Buildings
TalentSphere Staffing Solutions
Toronto, ON
- Full-time
Structural Engineer / Designer (Institutional & Public Sector)
Added 13 mins ago
L
Senior AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
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…
Added 13 mins ago
L
Senior Cybersecurity Engineer - Data & AI Security
lululemon
Vancouver, BC
- Full-time
As a Senior Cybersecurity Engineer, you will lead complex security engineering initiatives, designing and implementing security controls, platforms, and solutions that protect critical…
Added 28 mins ago
T
SAP Customer Solution Director
Talan
Montreal, QC
- $170,000 to $220,000 CAD / year
- Full-time
Education: Bachelor’s degree in Business, Engineering, Supply Chain, Information Technology or a related field.
Added 42 mins ago
MS
Principal Platform Infrastructure Engineer (Containers)
Menlo Security Inc.
Canada
- Full-time
As a Platform Infrastructure Engineer, you'll join a group of experienced engineers who are part of a globally distributed team responsible for building and managing the company's core…
Added 43 mins ago
SC
Environmental/Chemical Engineer (Mine Water Management)
SRK Consulting
Sudbury, ON
- Full-time
Must be based in Sudbury, Ontario
Added 1 hour ago
A
Estimator
Actalent
Calgary, AB
- $80 to $100 CAD / hour
- Contract
…capabilities, working closely with project managers, designers, field personnel, and other…
Added 1 hour ago
M
Software Engineer (SWE), Delivery Ops
Mecka
Richmond Hill, ON
- $150,000 to $200,000 CAD / year
- Full-time
Added 1 hour ago
EC
Intern, Power Systems Engineering (4-12 month) - Kitchener, ON
Eaton Corporation
Kitchener, ON
- Full-time
Must possess and maintain a valid and unrestricted driver’s license · Must reside within 80 km of Kitchener, Ontario
Added 2 hours ago
AG
Well Integrity & Asset Retirement Obligation (ARO) Engineer
ATCO Group
Calgary, AB · Edmonton, AB
- Full-time
The Engineering, Gas & Pipelines Division seeks a Professional Engineer (P.Eng.) to help manage and develop ATCO's aging well infrastructure programs, primarily the Abandoned Well Integrity…
Added 3 hours ago
Staff Engineer, Thermal Design
Tenstorrent
Toronto, ON
…solving hard problems. We are seeking a Staff Thermal Design Engineer to architect and productize advanced cooling solutions for high-performance PCIe cards and multi-chip server systems.…
Added 3 hours ago
W
Associate Technical Consultant, Geotechnical Engineer
Worley
Oakville, ON · Markham, ON · Vancouver, BC · Calgary, AB
- Full-time
Principal Geotechnical Engineer, P.Eng. – Tailings and Dams
Added 3 hours ago
Q
Sr Staff Engineer - Verification, CI/CD Infrastructure & Embedded Hardware (AISW)
Qualcomm
Markham, ON
- Full-time
The Sr Staff Engineer Engineer, Verification (CI/CD & Embedded HW) is a senior individual contributor responsible for designing, scaling, and hardening CI/CD infrastructure and verification…
Added 4 hours ago
H
Ingénieur principal en identité et fiabilité :Ping, ForgeRock/ Sr. Identity & Reliability Engineer
HRConnects
Quebec, QC
- Full-time
Added 4 hours ago
P
Quality Assurance Analyst
Planisware
Montreal, QC
- $70,000 to $80,000 CAD / year
- Full-time
Planisware is seeking a motivated QA Engineer who will be responsible for quality assurance activities in the context of software implementations by our consulting teams. Your ultimate…
Added 4 hours ago
F
Process Engineer – Carbon Fiber Manufacturing Operations
Fibernx
AB · Edmonton, AB
- Full-time
Fibernx Technologies is seeking an experienced and highly skilled Process Engineer – Carbon Fiber Manufacturing Operations to support the commissioning, operation, optimization, and…
Added 4 hours ago
O
Design Engineer
OC
Vancouver, BC
- Full-time
This full-time, on-site Design Engineer role is based in Vancouver, BC. The Design Engineer will contribute to the design and development of smart building controls, automation systems, and…
Added 5 hours ago
FA
Maintenance Control Supervisor
Flair Airlines
Toronto, ON
- Full-time
A valid Aircraft Maintenance Engineer (AME) license is required.
Added 5 hours ago
I
Software Dev 2
IGT
Moncton, NB
- Full-time
We are looking for a talented Software Engineer (Developer) II to join our Video King (Bingo) team in Winnipeg. Primary focus will be games on tablets. Come and join our team!
Added 5 hours ago
S
Lead Process Engineer
Sedgman
Vancouver, BC
- Full-time
Sedgman is seeking an experienced and motivated Lead Process Engineer, Mining & Minerals to join our growing team in Vancouver, BC.
Added 5 hours ago
NS
Group Services Lead Hand
Northern Strands Group of Companies
Saskatoon, SK
- Full-time
…products, fall protection, suspended access, agri-business field services, electrical services, and safety training to mining site services, fabrication, rentals, repairs, testing and…
Added 5 hours ago
Software Engineer III
Electronic Arts
Vancouver, BC
Master's Degree in Computer Science/related field or relevant experience.
Added 6 hours ago
RI
Laser Designer
RANOVUS Inc.
Ottawa, ON
- Other
…at Ranovus in Ottawa, suited to a recent PhD graduate or an engineer with up to 3 years of industry…
Added 6 hours ago
II
Project Engineer II (EIT/P.Eng)
Indotronix International Corporation
BC · British Columbia, Canada
- Contract
We are looking for a Project Engineer II to support gas compressor station construction and commissioning projects in British Columbia.

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 13, 2026
Experience: 6-10 years of experience building and delivering AI/ML solutions into production
Posting language: English
Posted: Nov 13, 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 pipelines, model training, evaluation systems, production APIs, and MLOps. Establish engineering standards and observability practices, architect LLM and generative AI systems, and partner with scientists, engineers, and product teams to deliver reliable, responsible production solutions.

Requirements

A bachelor's or master's degree in computer science, machine learning, or a related technical field is requested, along with 6–10 years of experience delivering AI/ML solutions in production. Candidates should have experience defining engineering, model development, evaluation, responsible AI, and MLOps standards, and working with tools such as Python, Spark, Airflow, MLflow, feature stores, and cloud ML platforms.

Skills

AI/ML Engineering
Python
Spark
Airflow
MLflow
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Model Training And Fine-Tuning
Model Evaluation
MLOps
Distributed Training
Model Serving
Data Pipelines
Responsible AI

Benefits

Annual Bonus Program
Extended Health And 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

AI/ML Engineering
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic Frameworks
Python
Spark
Airflow
MLflow
Feature Stores
Cloud ML Platforms
Data Pipelines
Model Training
Fine-Tuning
Model Evaluation
Benchmark Suites
Human Evaluation
Online Experiments
MLOps
Distributed Training
Model Serving
Real-Time Inference
Batch Inference
Model Monitoring
Data Drift
AI Observability
Responsible AI
API Design
Production Deployment

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Jobs in Canada