Learning • burnaby bc
Architect & Build: Design, develop, and deploy scalable machine learning models and AI systems (ranging from predictive models to Generative AI and LLM-powered agents) that directly impact Workday'... Voir plus
Working provincially to support Workplace Health & Safety initiatives, this position consults with and works collaboratively with provincial stakeholders to design, develop, and deliver educational... Voir plus
Mathnasium of South Surrey helps children build confidence and excel in math through personalized instruction.We are growing and looking for a driven, people-oriented Assistant Centre Director to j... Voir plus
A Data Entry Clerk is a professional responsible for transferring paper formats into computer files or database systems.They handle typing in customer information provided directly into an electron... Voir plus
The Company: Hexagon is a global leader in digital reality solutions, combining sensor, software, and autonomous technologies.We are putting data to work to boost efficiency, productivity, quality,... Voir plus
We are building a dedicated AI Red Team to rigorously test and harden enterprise-scale AI products.We are looking for an adversarial machine learning specialist who thinks like an attacker.This rol... Voir plus
We’re looking for an enthusiastic software developer who’s excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial services industry.... Voir plus
The Centre for Community Engaged Learning (CCEL) is an innovative model for the advancement of community-based approaches to experiential learning that has been highly successful in establishing Co... Voir plus
Location: 530 West Broadway, Vancouver BC, Canada  Core hours: Monday to Friday from 8am – 4:30pm PST We value collaboration, both in-person and remotely.This position is classified as H... Voir plus
At Aviso, we are dedicated to improving the financial well-being of Canadians.As a leading wealth management organization, we are committed to leadership, innovation, partnership, responsibility, a... Voir plus
Description & Requirements.Please include a link to your portfolio directly on your resume so our team can review your work as part of the application process.The portfolio link should be clear... Voir plus
Who we are At Yorkville University and Toronto Film School, we believe education is more than the pursuit of knowledge – it is a catalyst for transformation.Our mission is to create access fo... Voir plus
About the Opportunity We are an established global company that is expanding its international presence (100+ countries).You may be an experienced Learning and Development Specialist, leadership tr... Voir plus
This role is part of Eyeline’s Technology organization, which is responsible for delivering innovative production technology, supporting creative excellence across our global studio.We are seeking ... Voir plus
At RBC Borealis, you’ll be joining a team of leading researchers and software engineering specializing in machine learning.You will have access to rich and massive datasets, and to computational re... Voir plus
This is an independent contractor opportunity.Learning And Development Specialist.Personal Development and Leadership sector.Learning courses and destination events globally.We are seeking som... Voir plus
Part-Time Elementary & High School Teachers/Tutors Wanted.Passionate about puns? Excited by literature? Eager to help students succeed in all subjects?.Our hours count–gain valua... Voir plus
As a Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis.You will collaborate with other engin... Voir plus
Learning & Leadership Development Lead (Remote).The Path to Aliveness | Global Remote Opportunity.Imagine work that feels meaningful, where your conversations help people grow, awaken potentia... Voir plus
About the Role
What you will do:
Architect & Build: Design, develop, and deploy scalable machine learning models and AI systems (ranging from predictive models to Generative AI and LLM-powered agents) that directly impact Workday's core enterprise applications.
End-to-End Ownership: Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, optimization, and continuous monitoring in a high-scale production environment.
Cross-Functional Collaboration: Partner closely with Data Scientists, Software Engineers, Product Managers, and UX Designers to translate complex business problems into robust AI solutions.
Drive Technical Excellence: Establish and advocate for engineering best practices, robust MLOps processes, and highly optimized code.
Mentorship & Leadership: Guide and mentor junior engineers, conduct code and architecture reviews, and help shape the technical roadmap for your team.
Champion Responsible AI: Ensure all models adhere to Workday's strict standards for data privacy, security, fairness, and ethical AI practices.
About You
Basic Qualifications
Experience: 7+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP.
Programming Mastery: Expert-level proficiency in Python and strong software engineering fundamentals (data structures, algorithms, object-oriented design).
ML Frameworks: Deep hands-on experience with industry-standard machine learning and deep learning libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face).
Production Deployment: Proven track record of taking ML models out of research/notebook environments and deploying them into scalable, high-traffic production systems.
Cloud & Infrastructure: Solid experience with cloud computing platforms (AWS or GCP) and modern infrastructure tools (Docker, Kubernetes).
Education: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related highly quantitative field (or equivalent practical experience).
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please .
Primary Location: CAN.ON.TorontoPrimary CAN Base Pay Range: $156,000 - $234,000 CADAdditional CAN Location(s) Base Pay Range: $156,000 - $234,000 CAD
