Vancouver, Bc Applied ai/ml scientist Jobs – 23 Openings This Week

Applied AI/ML Scientist
Lululemon —Vancouver, BC
- $146,830–$192,720 a year
- Full-time
- Doctoral degree
- Computer Science
- Research
- Dental care
- Paid time off
Staff Applied AI/ML Scientist
Lululemon —Vancouver, BC
- $200,080–$262,610 a year
- Full-time
- Doctoral degree
- Computer Science
- Research
- Dental care
- Paid time off
Principal Applied AI/ML Scientist
Lululemon —Vancouver, BC
- $208,580–$273,770 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Dental care
- Paid time off
Applied Scientist, AICE - AI Center of Excellence
Amazon Development Centre Canada ULC —Vancouver, BC
- $149,300–$249,300 a year
- Full-time
- Doctoral degree
- Computer Science
- Research
- Profit sharing
- Dental care
Applied Scientist, Alexa Connections
Amazon Development Centre Canada ULC —Vancouver, BC
- $149,300–$249,300 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Profit sharing
- Dental care
Data Scientist II
Scribd, Inc. —Vancouver, BC
- $118,000–$150,000 a year
- Full-time
- Computer Science
- Master's degree
- SQL
- Disability insurance
- Dental care
Entry Level Machine Learning Engineer (Remote - Canada)
Yelp —Vancouver, BC
- $85,000–$107,000 a year
- Full-time
- Remote
- Java
- C++
- Software development
12d
Sr. Applied Scientist, Workforce Solutions
Amazon Development Centre Canada ULC —Vancouver, BC
- $195,900–$327,200 a year
- Full-time
- Doctoral degree
- Research
- Java
- Profit sharing
- Dental care
Applied Scientist, Tax Engine
Amazon Development Centre Canada ULC —Vancouver, BC
- $149,300–$249,300 a year
- Full-time
- Doctoral degree
- Computer Science
- Java
- Profit sharing
- Dental care
12d
AI Engineer
Workday —Vancouver, BC
- $138,000–$270,200 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS —Vancouver, BC
- $113,000–$152,000 a year
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Dental care
- Paid time off
Quick apply
8d
Senior AI Applied Scientist II
Prenuvo —Vancouver, BC
- $150,000–$177,000 a year
- Remote
- Doctoral degree
- Computer Science
- Engineering
- Dental care
- Vision care
Quick apply
Sr. SDE, Edge AI ML Platform, Edge AI and Science
Amazon Development Centre Canada ULC —Vancouver, BC
- $150,700–$251,700 a year
- Full-time
- AWS
- Machine learning
- Mentoring
- Profit sharing
- Dental care
2d
Senior Technology Director, AI/ML Applied Science
Lululemon —Vancouver, BC
- $223,500–$293,350 a year
- Full-time
- Doctoral degree
- Computer Science
- Research
- Dental care
- Paid time off
Senior AI Engineer
Workday —Vancouver, BC
- $169,000–$253,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Sr. Data Scientist, Alexa Connections
Amazon Development Centre Canada ULC —Vancouver, BC
- $143,200–$239,100 a year
- Full-time
- Research
- SQL
- AWS
- Profit sharing
- Dental care
Senior AI/ML Engineer
Lululemon —Vancouver, BC
- $176,760–$232,000 a year
- Full-time
- Computer Science
- Master's degree
- Bachelor's
- Dental care
- Paid time off
Principal AI Engineer
Workday —Vancouver, BC
- $188,000–$282,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Technical Client Partner
Noise —Vancouver, BC
- Full-time
- Hybrid work
- Computer Science
- Marketing
- Research
- Dental care
- Paid time off
SDM, ML Data Infra, Amazon Traffic Engineering
Amazon Development Centre Canada ULC —Vancouver, BC
- $171,400–$286,200 a year
- Full-time
- Team management
- Mentoring
- Recruiting
- Profit sharing
- Dental care
Software Development Engineer III, Agentic Client Experience (ACE) - Builder Foundations
Amazon Development Centre Canada ULC —Vancouver, BC
- $150,700–$251,700 a year
- Full-time
- Computer Science
- System design
- Java
- Profit sharing
- Dental care
Senior AI Data Scientist
Biocode Ai —Canada
- Full-time
- Hybrid work
- Master's degree
- SQL
- Bachelor's
- Dental care
- Tuition reimbursement
Quick apply

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Applied Scientist - AI Trainer
DataAnnotation —Innisfil, ON
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD)…
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Applied Scientist - AI Trainer
DataAnnotation —Concord, ON
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Applied AI/ML Scientist

Lululemon
Vancouver, BC

Apply Now

Job details

Full-time

Benefits

Extended health care
Dental care
Paid time off

Skills

Doctoral degree
Computer Science
PyTorch
Business analysis
Mathematics
Research
Master's degree
Bachelor's
Data-driven outcome evaluation
Natural language processing
Quantitative modelling analysis
Solution architecture
AI
Data transformation

Full job description

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 an Applied AI/ML Scientist, you design, develop, test, and optimize AI/ML solutions that address defined business problems, with an emphasis on applied modeling, experimentation, and translating advanced AI research into scalable, production-ready solutions. You work independently to design and adapt AI/ML approaches to build prototypes, and improve model performance, reliability, and efficiency. You use domain knowledge and collaborate with stakeholders and product teams to map the business problem to the right model and AI/ML solution approach. You own the AI solution implementation and partner with engineering teams to integrate solutions into the broader engineering system. You contribute to solution enhancements, validate outcomes, and continuously improve models based on real world performance.

Examples of projects could be

Designing and deploying machine learning and predictive/generative AI models for demand forecasting, optimization, personalization and search, intelligent automation, and multimodal content creation and enrichment
Applying NLP, computer vision, multimodal, or time series modeling techniques to enterprise-scale datasets that are a mix of structured and unstructured data
Developing experimentation frameworks and evaluation approaches to measure business impact of AI solutions in production
Collaborating with product and engineering teams to embed AI models into end to end business workflows

Select responsibilities include:

Translate business challenges into AI/ML approaches by working with key SMEs and stakeholders to understand problems and map them to the right AI/ML solution approach.
Design experiments and establish success criteria aligned with business goals
Develop AI/ML solutions for complex business problems applying advanced techniques to deliver measurable business impact, building production-ready models, and ensuring solutions scale effectively
Develop prototypes and conduct rigorous experimentation, design evaluation plan to analyze model performance, and iterate to improve accuracy, generalization, interpretability, and business impact
Develop end-to-end working AI/ML solutions for assigned use cases from data ingestion through inference, and partner with AI/ML engineers and software engineers to ensure seamless integration into production workflows and processes

Qualifications

Bachelor’s degree in computer science, machine learning, mathematics, or related field, Masters preferred
4-8 years of experience building and optimizing AI/ML solutions, or equivalent research experience, including educational experience (e.g., Master's or PhD degree)
Demonstrated experience in evaluating and applying state-of-the-art AI/ML models and methods to develop practical, high-performing solutions to specific use-cases.
Experience designing AI/ML approaches, conducting experiments to evaluate performance, iterating on solution design to improve performance, and translating AI-ML driven insights into business goals
Proven ability to navigate technical complexity within assigned solutions including data transformation and preparation, model training and fine-tuning, latency constraints, and integration requirements within established architectural patterns
Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML platforms and libraries, open-source toolkits.

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

Please note: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of employment visa at this time 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 $146,830-$192,720 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.

#LI-AG2

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Refine Your Search

applied ai/ml scientist jobs in vancouver, bc

Applied AI/ML Scientist

Staff Applied AI/ML Scientist

Principal Applied AI/ML Scientist

Applied Scientist, AICE - AI Center of Excellence

Applied Scientist, Alexa Connections

Data Scientist II

Entry Level Machine Learning Engineer (Remote - Canada)

Sr. Applied Scientist, Workforce Solutions

Applied Scientist, Tax Engine

AI Engineer

Lead Applied AI and Data Scientist | IFS Copperleaf

Senior AI Applied Scientist II

Sr. SDE, Edge AI ML Platform, Edge AI and Science

Senior Technology Director, AI/ML Applied Science

Senior AI Engineer

Sr. Data Scientist, Alexa Connections

Senior AI/ML Engineer

Principal AI Engineer

Technical Client Partner

SDM, ML Data Infra, Amazon Traffic Engineering

Software Development Engineer III, Agentic Client Experience (ACE) - Builder Foundations

Senior AI Data Scientist

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