Machine learning • richmond 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'... Show more
Our team builds and operates critical infrastructure services that power Amazon's retail platform, ensuring optimal performance and reliability for millions of customer interactions every day.Are y... Show more
Our client is seeking a talented and agile Learning Designer to join their Product Operations team.The Product Operations division's mandate is to transform the brand's product operating model, red... Show more
Marine Products, Construction, and Industrial solutions.We are seeking a Die Caster to join Delta, British Columbia location/team on a full-time permanent basis.Reporting to the Production Supervis... Show more
Working provincially to support Workplace Health & Safety initiatives, this position consults with and works collaboratively with provincial stakeholders to design, develop, and deliver educational... Show more
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... Show more
Cascadia Metals stands firm in its founding principles, with a steadfast commitment to success.Our growth is a testament to the dedication of our owners and our ongoing investment in both infrastru... Show more
It's fun to work in a company where people truly BELIEVE in what they're doing!.We're committed to bringing passion and customer focus to the business.Join our team as a Learning and Development Sp... Show more
Faculty, Mechanical Building Systems.The successful candidate must have a strong commitment to teaching and interacting with students, an ability to communicate clearly and effectively, and an inte... Show more
OPPORTUNITY We are seeking a highly skilled Data Scientist / Machine Learning Engineer to help design, build, deploy, and maintain scalable machine learning systems within Antarctica Capital as par... Show more
At Stryker Endoscopy, our Computer Vision team develops advanced image analysis technologies that support clinical decision-making, improve visualization, reduce surgeon workload, and ultimately im... Show more
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... Show more
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... Show more
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... Show more
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... Show more
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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... Show more
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... Show more
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
