Machine • vancouver 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
The work we do at Autodesk touches nearly every person on the planet.By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most... 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
Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazo... 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
Intermediate Machine Learning Developer.We are looking for a Machine Learning Developer who is passionate about solving challenging computer vision and machine learning problems in collaboration wi... Show more
Reporting to Director, Data, the AI and Machine Learning Engineer is responsible for designing, building, and operating production grade machine learning systems that deliver measurable business ou... Show more
The work we do at Autodesk touches nearly every person on the planet.By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most... Show more
Title: Research Scientist, Intelligent Robotics Systems.Location: Vancouver, CA (Hybrid or On-Site).A pioneering organization at the forefront of robotics and artificial intelligence is seeking a R... Show more
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... 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
JOIN OUR NORTHWEST REHAB GROUP (NRG) TEAM ON MAIN STREET, VANCOUVER!.We are looking for an enthusiastic and passionate physiotherapist to join our team at.We are a busy clinic with over .Main Stree... 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
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 ... 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
Pay at Intact is about much more than just salary.Multiple benefits offered to support.Wellness account and much more.Share plan & other savings: up to.Employee Share Purchase Plan (ESPP) – with In... Show more
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
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry.With an open SaaS platform that supports easy consolidation and... 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
){kind=logo}
