Jobs in Canada

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Added 29 mins ago
AS
Senior Data Scientist, AWS Analytics Engineering
Amazon Science
Vancouver, BC
- Full-time
We are looking for a customer-focused Senior Data Scientist to develop and deliver science solutions for AWS services. In this role, you will build ML-driven product analytics for AWS…
Added 2 hours ago
TI
Engagement Manager, Analytics & AI
TrueBlue Inc.
Calgary, AB
- Full-time
This is a business-facing role with significant exposure to senior client stakeholders. You will be responsible for understanding client needs, shaping problem statements, translating…
Added 2 hours ago
C
Senior Software Engineer - Integrations - AI/ML
ClickHouse
Remote, Canada
- $147,000 to $238,000 USD / year
- Full-time
- Remote
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the…
Added 11 hours ago
H
Senior Social Science Specialist
Hatfield
Vancouver, BC
- Full-time
We are seeking a motivated and experienced Senior Social Scientist Specialist to join our growing team. The successful candidate should have a background in human environment consulting or…
Added 12 hours ago
Senior Data Scientist, AWS Analytics Engineering
Amazon
Vancouver, BC
We are looking for a customer-focused Senior Data Scientist to develop and deliver science solutions for AWS services. In this role, you will build ML-driven product analytics for AWS…
Added 12 hours ago
M
Lead Workforce Scientist
McKesson
Mississauga, ON
- Full-time
Lead Workforce Scientist (P5) | Focus Area: Employee Listening, Culture & Engagement
Added 13 hours ago
TS
26-76 Safety System Risk Scientist
Technical Safety BC
Vancouver, BC
- Full-time
The Safety System Risk Scientist provides advanced analytical expertise and technical leadership to support evidence-based safety risk management. The role leads complex analyses that…
Added 14 hours ago
Scientific Director - Geriatric Division Research
CAMH
Toronto, ON
Minimum: 8 years of independent research experience, including 2 or more years in a Senior Scientist role and/or other scientific leadership experience.
Added 15 hours ago
PH
Senior Social Science Specialist
PT Hatfield Indonesia
North Vancouver, BC
- Full-time
We are seeking a motivated and experienced Senior Social Scientist Specialist to join our growing team. The successful candidate should have a background in human environment consulting or…
Added 17 hours ago
L
Principal Applied AI/ML Scientist
lululemon
Vancouver, BC
- Full-time
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…
Added 17 hours ago
S
Support Scientist
SECURE
Leduc, AB
- Other
As a Support Scientist, you will support laboratory evaluations and field programs focused on scale and paraffin deposition in oil and gas production systems. You will conduct specialized…
Added 17 hours ago
A
RQ11580 – AI/ML Engineer (LLM, Python, Databricks) | Ontario Government | Onsite Toronto
Amyantek
Toronto, ON
- Contract
Job Title: RQ11580 - Senior Software Developer
Added 18 hours ago
RT
Senior Software Developer
Russell Tobin
Toronto, ON
- $80 to $90 CAD / hour
- Contract
…external agencies in the future. We are looking for a data scientist to support various initiatives related to the platform as well as the execution of use cases to support the needs of…
Added 19 hours ago
A
Principal Data Scientist
Autodesk
ON · Ontario, Canada
- Full-time
Lead junior/ senior data scientists and analysts. Apply statistical techniques to model customer behavior and trends to identify potential opportunities for growth and improvement
Added 19 hours ago
IC
Data Scientist – SAS-to-Python Migration
Infotek Consulting Inc.
Toronto, ON
- $75 to $82 CAD / hour
- Contract
We are currently seeking an experienced Data Scientist / Senior Consultant to support a strategic SAS-to-Python migration initiative with a leading Canadian bank.
Added 20 hours ago
ASSOCIATE SCIENTIST I - AGS
DiaSorin
Toronto, ON
…scientific experiments independently with supervision from senior members of the…
Added 1 day ago
EB
Senior Bioinformatics Scientist
Ephla Bio
Toronto, ON
- Full-time
Added 1 day ago
M
RQ11580 - Software Developer - Senior
Maarut
Toronto, ON
- Contract
looking for a data scientist to support various initiatives related to the
Added 1 day ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Data Scientist in the Client Data Valorisation team at National Bank means serving as a predictive modelling and data valorisation specialist. This position allows you to have…
Added 1 day ago
NB
Senior AI Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior AI Scientist on the Model Risk Management team at National Bank means serving as an independent expert in the assessment of advanced artificial intelligence systems.…
Added 1 day ago
SM
RQ00242 – Senior Data Analytical Specialist/Scientist
S M Software Solutions Inc
Toronto, ON
- Full-time
The selected candidate is required to work onsite 3 days per week at the client's location: 277 Front Street West, Toronto, Ontario, Canada
Added 1 day ago
SM
RQ00242 – Senior Data Analytical Specialist/Scientist
S M Software Solutions Inc
Toronto, ON
- Full-time
The selected candidate is required to work onsite 3 days per week at the client's location: 277 Front Street West, Toronto, Ontario, Canada
Added 1 day ago
SM
RQ00242 – Senior Data Analytical Specialist/Scientist
S M Software Solutions Inc
Toronto, ON
- Full-time
The selected candidate is required to work onsite 3 days per week at the client's location: 277 Front Street West, Toronto, Ontario, Canada
Added 2 days ago
FT
Applied Machine Learning Research Scientist
FDE Times
Toronto, ON
- Full-time
As an Applied Machine Learning Research Scientist at Cerebras, you will play a key role in turning modern machine learning techniques into scalable, high-performance systems. This role sits…
Added 2 days ago
SM
RQ00242 – Senior Data Analytical Specialist/Scientist
S M Software Solutions Inc
Toronto, ON
- Full-time
The selected candidate is required to work onsite 3 days per week at the client's location: 277 Front Street West, Toronto, Ontario, Canada

lululemon

Principal Applied AI/ML Scientist

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 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 on LinkedIn 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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Work requirements

Jobs in Canada