Jobs in Canada

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Added 55 mins ago
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Member of Technical Staff 4
Nutanix
Vancouver, BC
- $151,000 to $227,000 CAD / year
- Full-time
Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data…
Added 2 hours ago
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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 2 hours ago
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Senior Software Engineer
Virtusa
Mississauga, ON
- Full-time
…identifying defects, executing/creating test plans, and ensuring that solutions meet functional and technical requirements before QA…
Added 2 hours ago
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Senior Structural Engineer
TalentWorld
Guelph, ON
- Full-time
TalentWorld is recruiting a Senior Structural Engineer in Puslinch/Guelph, Ontario, for one of its valued partners.
Added 2 hours ago
WI
Senior Electrical Engineer, Resources
WSP in Canada
Toronto, ON
- Full-time
…Ontario, Greater Toronto Area, Saskatoon SK, St John's NL , as a Senior Electrical Engineer, you will support as a senior subject matter expert in the electrical design for both new…
Added 2 hours ago
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Senior Azure Cloud Platform Engineer
Pinnacle
Toronto, ON
- Full-time
Senior Azure Cloud Platform Engineer will play a key part in designing, implementing, and optimizing company’s Azure cloud infrastructure solutions. The ideal candidate will bring a strong…
Added 2 hours ago
MN
Signaling Delivery Director
Matchtech North America
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Oversee safety, quality, delivery risk and performance, acting as a senior interface with the client and delivery stakeholders.
Added 3 hours ago
YR
Senior Project Manager
York Region (The Regional Municipality of York)
Newmarket, ON
- Full-time
Must be registered as a Professional Engineer (P. Eng.) with the Professional Engineers Ontario.
Added 8 hours ago
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Engineer - Tooling
Air Canada
Toronto, ON
- Full-time
…& Aircraft Servicing Equipment (ASE) Team. Reporting to the Senior Manager, Technical Operations Tooling, the Engineering Specialist (Tooling) enjoys a broad scope of responsibility and…
Added 8 hours ago
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Senior Staff Software Engineer
Nubank
Toronto, ON
- Full-time
This is a hybrid role, requiring attendance in the office 3 days per week
Added 8 hours ago
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Test Analyst
YAC Enterprise
Canada
- Full-time
Career progression into Senior Test Analyst, QA Engineer, Automation Engineer, QA Lead, or QA Manager roles.
Added 9 hours ago
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Geotechnical Engineer (Rock Mechanics)
Equilibrium
Remote, Canada
- Full-time
- Remote
…continents has equipped us to provide innovative and efficient solutions to mining challenges. Equilibrium has team members in Canada, US, Chile, and Australia, and we are searching for…
Added 10 hours ago
TT
Senior/Staff Software Engineer
True Talent Solutions Partners
Canada
- $210,000 to $260,000 USD / year
- Full-time
At least 6 years of full-stack software development experience, including technically complex work at senior or staff scope.
Added 10 hours ago
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Geotechnical Engineer (Rock Mechanics)
Equilibrium
Vancouver, BC
- Full-time
…continents has equipped us to provide innovative and efficient solutions to mining challenges. Equilibrium has team members in Canada, US, Chile, and Australia, and we are searching for…
Added 11 hours ago
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2027 New Grad - Solutions Engineer
Geek+
Markham, ON
- Full-time
As a Solutions Engineer at Geek+, you’ll turn customer data into automation solutions that work on the warehouse floor. You’ll analyze clients’ operational data (order profiles, SKU…
Added 11 hours ago
GA
2027 New Grad Position - Solutions Engineer
Geekplus America Inc
Markham, ON
- Full-time
As a Solutions Engineer at Geek+, you’ll turn customer data into automation solutions that work on the warehouse floor. You’ll analyze clients’ operational data (order profiles, SKU…
Added 11 hours ago
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Principal Mechanical Engineer
Worley
Toronto, ON
- Full-time
We are currently recruiting for a Principal Mechanical Engineer – HVAC, Building Services and Fire Protection Our team includes world class experts and dynamic go-getters. This is a…
Added 11 hours ago
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Connectivity Systems Engineer, Senior Staff
Qualcomm
Toronto, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture,…
Added 12 hours ago
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Django/Python Developer (Full-Stack) (NLM)
JobsInPython
Prince Edward, ON
- Full-time
(Senior) Software Engineer – AI (m/f/d) – Remote
Added 13 hours ago
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Senior Mechanical Engineer
Sedgman
Montreal, QC
- Full-time
Sedgman is currently seeking a strong, Intermediate to Senior Mechanical Engineer for their Montreal, Qc office. Sedgman is currently seeking a skilled and detail-oriented senior Mechanical…
Added 13 hours ago
SP
Intermediate Electrical Engineer
Spark Power ⚡
Calgary, AB
- Full-time
Spark Power, a trusted partner in energy in North America, is looking for an Intermediate Engineer to join our Calgary, Alberta team. Spark Power provides a wide range of services to…
Added 13 hours ago
TT
Senior Geotechnical Engineer
Tetra Tech
AB · Edmonton, AB
- Full-time
Tetra Tech is adding a Senior Geotechnical Engineer to our Arctic Engineering team based in Edmonton, AB .
Added 13 hours ago
AC
Senior Product Development Engineer – Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
Position: Senior Product Development Engineer – Liquid Cooling for Front-End I/O Connectors
Added 13 hours ago
AC
Senior Product Development Engineer – Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
Position: Senior Product Development Engineer – Liquid Cooling for Front-End I/O Connectors
Added 13 hours ago
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DevOps Engineer
Kablamo
Toronto, ON
- Full-time
We are looking for a DevOps Engineer as we expand our impact with new customers. This posting supports positions to start between November 2026 and February 2027.

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

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Work requirements

Jobs in Canada