Machine 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
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
Your Opportunity at ARC’TERYX:.ARC’One, our manufacturing facility, located in New Westminster, accounts for approximately 10% of our global production and employs over 600 people.Best Workplace™ i...Voir plus
DarkVision is seeking a Machine Learning Scientist to join our Imaging & AI team.You will research, design, and prototype the deep learning architectures that power our automated analysis tools.You...Voir plus
Our Machine Operators are responsible for following all processes and procedures to ensure high-quality parts are produced within the allotted time and meet all specifications.You will be working c...Voir plus
Canada, the United States and Mexico.We have grown to be British Columbia's largest precision sheet metal manufacturer, supplying the Electronics, Printing, Medical Device, Power Switching and Test...Voir plus
Pac Flexible Packaging is a rapidly growing company with locations across the United States, Canada, Europe, and Indonesia.Built on break-through digital printing, ePac is at the crossroads of adva...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 Hybrid under ...Voir plus
As a Learning Experience Designer.Autodesk products and platforms.You’ll work closely with product experts, customer success teams, and content developers to create scalable, engaging, and effectiv...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
Are you a skilled Extrusion Machine Operator looking for a stable, permanent career opportunity in Port Coquitlam? As a global leader in talent solutions, Randstad Operational is proud to partner w...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
Salary: $167,000 - 207,000 per year.Proficient coding skills in Python and/or C# along with robust backend engineering principles.Experience in contemporary web development using JavaScript/TypeScr...Voir plus
Staffmax is helping our client hire a skilled Machine Operator for a 5-month contract.This role is essential to production operations and is ideal for mechanically inclined individuals with strong ...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
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
Your Opportunity at ARC’TERYX:.ARC’One, our manufacturing facility in New Westminster, is home to a team of skilled makers and technicians who bring Arc’teryx products to life.Located near our Desi...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
