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Added 7 mins ago
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INTERDISCIPLINARY ENGINEER
Naval Air Warfare Center Training Systems Division (NAWCTSD)
Cherry Point, AB
- Full-time
You will collaborate ATI Senior Technologists, AM SMEs, logistic POCs, and industry stakeholders to facilitate technical exchange and leverage collaborative AM solutions that provide…
Added 7 mins ago
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Senior AI Engineer, Marketing
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer, Marketing based in Canada.
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Field Operations Supervisor
TELECO
Thunder Bay, ON
- Full-time
Previous experience as a lead technician, senior technician, field supervisor, or in a comparable technical leadership role.
Added 7 mins ago
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Analyste d'Affaires Senior
Highspring
Montreal, QC · Greater Montreal Metropolitan Area
- Contract
We are looking for a Senior Business Analysis Consultant to contribute to a strategic banking transformation initiative.
Added 7 mins ago
CO
Senior Associate, Servicing Operations
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Senior Associate, Servicing Operations
Added 7 mins ago
CIAM Operations Support
Scotiabank
Toronto, ON
Act as a senior technical resource for CIAM SecDevOps and Operations, supporting secure, reliable, highly available enterprise identity services.
Added 7 mins ago
CIAM Operations Support Lead
Scotiabank
Toronto, ON
If you are passionate about Site Reliability Engineering and Software Operations Management with a strong technical mindset, keen interest in authentication and security, and thrive in a…
Added 7 mins ago
Senior Manager, Bell AI Fabric Strategy
Bell
Regina, SK
…regulatory, environmental, commercial, community, operational or technical challenges exist? What are the risks and what remains unknown? Should Bell move forward, reshape the opportunity,…
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Actuarial Analyst I - Capital
TD
Toronto, ON
- Full-time
Challenge from senior executives, working groups, TDI risk committee and risk capital committee on model results and key assumptions.
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The Senior Agile team lead will be accountable for the delivery and execution of business and technical features that align with the overall creditor
Co-operators
Mississauga, ON · Burlington, ON
- Full-time
The Agile Team Lead will be accountable for the delivery and execution of business and technical features that align with the overall creditor strategy. In this role, the successful…
Added 23 mins ago
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Senior Software Engineer – Kotlin, VP
Citi
Mississauga, ON
- Full-time
Extensive professional experience in software engineering, with demonstrated progression into senior/lead or VP-level technical responsibilities.
Added 23 mins ago
BB
Field Technical Service Representative (Full Time)
Best Buy Canada
London, ON
- Full-time
Grow your career in development roles (senior field service agent, field services team lead).
Added 23 mins ago
BB
Field Technical Service Representative (Full Time)
Best Buy Canada
Ottawa, ON
- Full-time
Grow your career in development roles (senior field service agent, field services team lead).
Added 23 mins ago
BB
Field Technical Service Representative (Seasonal)
Best Buy Canada
Windsor, ON
- Part-time
Grow your career in development roles (senior field service agent, field services team lead).
Added 38 mins ago
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Project Manager
TalentSphere Staffing Solutions
Vaughan, ON
- Full-time
This is a senior-level position for someone who can operate independently and bring strong project leadership, commercial awareness and client-facing experience to the team.
Added 38 mins ago
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Vice President Human Resources
Napoleon
Barrie, ON
- Full-time
Serve as an active member of the Senior Leadership Team, contributing to enterprise strategy and business decision-making.
Added 38 mins ago
CC
AI Product and Delivery Manager
Centennial College
Toronto, ON · Scarborough, ON
- $100,363 to $131,604 CAD / year
- Full-time
…College's institutional AI strategy and direction, you will lead the Incubator's product and delivery activities. You'll translate approved strategic priorities into actionable roadmaps,…
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Senior AI Application Developer-Evergreen
Fujitsu
Montreal, QC
- Full-time
Mentor developers, lead code and design reviews, and establish technical standards and best practices.
Added 38 mins ago
CM
Foreign Exchange (FX) Analytics Manager
CIBC Mellon
Toronto, ON
- Full-time
…management. The FX Analytics Manager applies strong analytical and technical business capabilities to interpret data and support management reporting, revenue analysis, and strategic…
Added 38 mins ago
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Senior Accountant
Distinct | North America
Toronto, ON
- $85,000 to $105,000 CAD / year
- Full-time
Senior Accountant | $85,000–$105,000 | Midtown Toronto (Hybrid)
Added 38 mins ago
QM
Directeur national des ventes - Canada / National Sales Director - Canada
Quantum Management Services Ltd.
Montreal, QC
- $200,000 CAD / year
- Full-time
An established international organization is seeking a National Sales Director to lead sales growth across Canada.
Added 38 mins ago
UT
Software and Hardware Senior Engineering Specialist
UNIZON Taskforce Technology
Dorval, QC
- $100,000 to $150,000 CAD / year
- Full-time
We are seeking a Senior Software and Hardware Engineering Specialist to review and assess suppliers' airborne software and electronic hardware designs, ensuring compliance with aerospace…
Added 38 mins ago
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Senior General Counsel
SPE - Serruya Private Equity
Markham, ON
- Full-time
Serruya Private Equity is seeking an experienced Senior General Counsel to lead the legal function across the organization and its portfolio companies.
Added 38 mins ago
OT
Business Intelligence Assistant
Ottawa Tourism
Ottawa, ON
- Contract
…Ottawa as a compelling leisure and business destination and lead or participate in initiatives that improve Ottawa’s visitor experience. We contribute to the broader economic development…
Added 38 mins ago
Senior Manager, Corporate Security
D2L
Kitchener, ON
The Senior Manager, Corporate Security leads the corporate security function and its day-to-day operations and owns the corporate security roadmap. This role is accountable for protecting…

lululemon

Principal Applied AI/ML Scientist

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 9, 2026
Experience: 11–15 years of AI/ML research experience in industry or equivalent academic experience
Posting language: English
Posted: Nov 9, 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. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.

About This Team

The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon’s vertically integrated retail ecosystem, while 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 Principal Applied AI/ML Scientist, you define and drive the solutions for enterprise ‑ level AI/ML use-cases, influencing multiple solutions across one or more business domains. You create business impact by extending the state of the art to invent new AI solutions. You operate as a top technical authority and thought leader, shaping how AI/ML becomes a durable competitive advantage across business lines. You lead the most complex, cross ‑ domain initiatives, establish retail industry ‑ leading methodologies, and influence long ‑ term solution approaches across the AI portfolio. You guide senior leaders on where and how to apply AI, ensuring solutions deliver sustained, measurable impact at scale.

Your work may span the full retail value chain, including product and merchandising, planning and forecasting, supply chain and logistics, and broader enterprise operations. You apply advanced AI/ML techniques to complex problems such as demand and inventory optimization, allocation and assortment, operational decision-making, and other large-scale optimization and predictive modeling challenges.

Examples Of Work Include

Designing and inventing AI solutions across domains such as product design and innovation, planning and forecasting, agentic personalization and search, and multimodal content generation and enrichment
Defining next ‑ generation models and architectures for generative AI, multimodal systems, and large ‑ scaleML-based optimization, leading to production
Translating emerging AI research (e.g., LLMs, multimodal learning, foundation models) into enterprise ‑ ready capabilities with measurable business outcomes
Acting as a strategic advisor to executives on AI opportunities, risks, trade ‑ offs, and long ‑ term capability building

Select Responsibilities Include

Define enterprise AI/ML strategy and solution vision for key use-cases, aligning investments to business priorities and shaping AI as a core organizational capability and competitive differentiator
Lead research and design of AI/ML approaches for highly complex business problems
Advance AI/ML methodologies and solution frameworks that accelerate time ‑ to ‑ value, improve scalability and re-use, and enable repeatable success across teams
Drive innovation by extending state ‑ of ‑ the ‑ art techniques, conducting original research, and inventing novel approaches that extend organizational capability
Influence and mentor senior technical leaders, elevating organizational capability in applied AI/ML and fostering a culture of technical excellence and innovation
Partner with executive stakeholders to identify high ‑ impact opportunities, define success metrics, and ensure AI/ML investments deliver measurable business value and ROI
Establish enterprise experimentation and validation standards that connect model performance to business outcomes and strategic decision ‑ making

Qualifications

Bachelor’s degree in computer science, data science, engineering, or related technical field, or equivalent experience; PhD preferred
11–15 years of AI/ML research experience in industry or equivalent academic experience
Demonstrated ability to define enterprise ‑ level AI/ML solutions for previously unsolved problems, and influence executive decision ‑ making on technology direction and investment
Proven track record of architecting and delivering large ‑ scale , complex AI/ML systems across multiple domains with significant organizational impact
Deep expertise in advanced AI/ML approaches, including areas such as generative AI, NLP, computer vision, multimodal learning, or time ‑ series modeling, and ability to translate research into production systems
Strong experience partnering with senior business and technology leaders to align AI initiatives with strategic goals and measurable outcomes
Expert ‑ level experience with modern ML tools and ecosystems (e.g., Python, PyTorch , cloud ML platforms, distributed training/inference systems, and scalable data pipelines)
Strong understanding of production AI systems, evaluation frameworks, and responsible AI considerations

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 $208,580-$273,770 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

Define enterprise AI/ML strategy and lead the design, research, and production delivery of complex solutions across retail business domains. Advise executives, establish scalable methodologies and validation standards, and mentor senior technical leaders to ensure measurable business impact.

Requirements

A bachelor's degree in a relevant technical field or equivalent experience is required, with a PhD preferred, along with 11–15 years of AI/ML research experience. Candidates should have a record of delivering large-scale AI/ML systems, expertise in advanced AI methods and production tools, and the ability to align initiatives with business strategy and measurable outcomes.

Skills

Applied AI/ML
Generative AI
Natural Language Processing
Computer Vision
Multimodal Learning
Time-Series Modeling
Large-Scale Optimization
Predictive Modeling
Python
PyTorch
Cloud ML Platforms
Distributed Training And Inference
Scalable Data Pipelines
Production AI Systems
Model Evaluation
Responsible AI

Benefits

Annual Bonus Program
Equity Offerings
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
Career Development
Development Courses
People Networks
Mentorship Programs
Leadership Series

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI/ML Strategy
Generative AI
Large Language Models
Multimodal Systems
Foundation Models
Natural Language Processing
Computer Vision
Multimodal Learning
Time-Series Modeling
Demand Optimization
Inventory Optimization
Allocation
Assortment
Planning And Forecasting
Predictive Modeling
Large-Scale Optimization
Agentic Personalization
Search
Multimodal Content Generation
Python
PyTorch
Cloud ML Platforms
Distributed Training
Distributed Inference
Scalable Data Pipelines
Production AI Systems
Evaluation Frameworks
Responsible AI
Retail
Enterprise Data Governance

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