Jobs in British Columbia

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Added 4 hours ago
W
Process Engineer
Worley
Vancouver, BC
- Full-time
This role is based in Vancouver and follows a hybrid work model, requiring two days per week in the office · Minimum of 5 to 10 years of applicable engineering experience required
Added 4 hours ago
GC
AI/ML Data Engineer
Game Companies
Vancouver, BC
- Volunteer
AI Engineer Intern – Creative Innovations (Character Pipelines)
Added 8 hours ago
L
Senior AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
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…
Added 9 hours ago
W
Machine Learning Engineer Intern (Canada)
Workday
Vancouver, BC
- Full-time
- Hybrid
As a Machine Learning Engineer Intern, you’ll help develop Workday’s intelligent core by contributing to the scalable AI and ML platforms that power personalized experiences for millions of…
Added 9 hours ago
W
Software Development Engineer Intern (Canada)
Workday
Vancouver, BC
- Full-time
- Hybrid
Our Software Development Engineers don't just write code - they enhance how customers access and manipulate data, improve the performance and scalability of Workday's products, and ensure…
Added 9 hours ago
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Senior Systems Engineer II
NoxPharm
Burnaby, BC
- Full-time
Added 13 hours ago
TN
Associate - Project Development & Construction
The New Industrial Corporation
Vancouver, BC
- Full-time
Manage document control and data rooms, and prepare monthly development reports for the partners
Added 16 hours ago
MG
Platform Engineer
Match Group
Vancouver, BC
- $107,800 to $128,300 CAD / year
- Full-time
We are seeking a talented and motivated Platform Engineer to join the Match Group Core Platform Infrastructure team.
Added 19 hours ago
TM
Senior Process Engineer
Trekor Metals Limited
Barriere, BC
- Full-time
Reporting to the Director, Yellowhead Copper Project, the Senior Process Engineer will join an experienced project team advancing a large open pit mining project in British Columbia through…
Added 20 hours ago
MO
Data Analytics Consultant
MSP OPERATIONAL CORP
Vancouver, BC
- Full-time
This individual must have a good blend of people, functional, and technical skills for cross-team collaboration and support
Added 1 day ago
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Senior Process Engineer
Yellowhead
Barrière, BC
- Full-time
Reporting to the Director, Yellowhead Copper Project, the Senior Process Engineer will join an experienced project team advancing a large open pit mining project in British Columbia through…
Added 1 day ago
C
Data Engineer
Citylitics
Remote, Canada
- $90,000 to $110,000 CAD / year
- Full-time
- Remote
We're looking for a skilled and enthusiastic Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone…
Added 1 day ago
RB
Senior Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
As Senior Full Stack Engineer in AI Engineering within US Functions Technology you will be a hands-on contributor helping modernize how US corporate functions build and run their…
Added 1 day ago
GC
C++ Generalist Software Engineer Co-op (FC - Vancouver - Summer 2027 - 8-Months - Undergrad)
Game Companies
Vancouver, BC
- Volunteer
We are considering hybrid (3-days per week) and onsite flexible work options
Added 1 day ago
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Structural BIM Designer
HDR
Vancouver, BC
- Full-time
…where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological…
Added 1 day ago
S
Localization Software Engineer III - CAD
SPECTRAFORCE
Vancouver, BC
- Hybrid
Top 3 experience “must haves”:
Added 1 day ago
FH
Secretary, plant services
Fraser Health Authority
Burnaby, BC
- $32.39 CAD / hour
…the attention of the Manager, Plant Services, Assistant Chief Engineer and Maintenance Supervisors; responds to inquiries by drafting correspondence or referring to appropriate…
Added 1 day ago
FH
Maintenance worker v/power engineer
Fraser Health Authority
Maple Ridge, BC
- $37.72 CAD / hour
We are currently looking to fill a Full Time opportunity for a Maintenance Worker V/Power Engineer at Baillie House in Ridge Meadows Hospital located in Maple Ridge, BC.
Added 1 day ago
FH
Maintenance worker v/power engineer
Fraser Health Authority
Maple Ridge, BC
- $37.72 CAD / hour
We are currently looking to fill a Full Time opportunity for a Maintenance Worker V/Power Engineer at Baillie House in Ridge Meadows Hospital located in Maple Ridge, BC.
Added 1 day ago
E
EverPro - Software Development Engineer in Test
Evercommerce
Vancouver, BC
- $100,000 to $120,000 CAD / year
- Full-time
EverPro - Software Development Engineer in Test, Joist – REMOTE (Canada)
Added 1 day ago
M
Principal GTM Operations Analyst
MongoDB
BC
- Full-time
Engineer robust data pipelines and features (SQL/Python) on top of our GTM data stack (Salesforce, product usage, call transcripts, marketing signals, etc.) in partnership with data and…
Added 1 day ago
FH
Maintenance Worker V/Power Engineer
Fraser Health
Maple Ridge, BC
- $37.72 CAD / hour
We are currently looking to fill a Full Time opportunity for a Maintenance Worker V/Power Engineer at Baillie House in Ridge Meadows Hospital located in Maple Ridge, BC.
Added 1 day ago
FH
Maintenance Worker V/Power Engineer
Fraser Health
Maple Ridge, BC
- $37.72 CAD / hour
We are currently looking to fill a Full Time opportunity for a Maintenance Worker V/Power Engineer at Baillie House in Ridge Meadows Hospital located in Maple Ridge, BC.
Added 1 day ago
W
Senior Project Engineer
Worley
Vancouver, BC
- Full-time
Lead preparation of technical scopes of work, specifications, data sheets and procurement packages.
Added 1 day ago
H
Principal AI/ML Engineer
HPE
BC
- Full-time
…help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to…

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 15, 2026
Experience: 6-10 years of experience building and delivering AI/ML solutions into production
Posting language: English
Posted: Nov 15, 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, delivery, 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 productionize reliable and responsible AI capabilities.

Requirements

Requires a bachelor's or master's degree in computer science, machine learning, or a related technical field, and 6–10 years of experience delivering AI/ML solutions in production. Candidates should have experience setting engineering, model development, evaluation, and MLOps standards, along with familiarity with 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 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
Mentorship Programs

Visa sponsorship

Not detected in the job text

Keywords

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

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Jobs in British Columbia