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
Hogan’s Alley Society acknowledges that we work and organize on the ancestral and unceded lands of the.Musqueam), Skwxwú7mesh (Squamish), and.We offer our commitment to working in good relations wi... Voir plus
This position is responsible for providing ongoing technology support to Learning & Development and to all other Single-Family lines of businesses.This position is also responsible for overseeing a... Voir plus
Your work days are brighter here.We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.As a Fortune 500 company and a leading AI platform for managing... Voir plus
Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.Very f... Voir plus
Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, A... Voir plus
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As a Machine Learning Engineer, you'll design and implement scalable, high-performance machine learning systems to support DeviantArt's vibrant online community.You'll play a key role in building i... Voir plus
The salary range presented below is based on a 35-hour workweek and would represent a majority of different candidate profiles.However, we encourage candidates who may fall outside of this range to... 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
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world.Here, everyone is part of the story.Part of a community that connects across the globe.A ... Voir plus
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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 valuable teaching experi... Voir plus
Our client, is seeking an experienced, creative Learning Design Consultant to join their global learning and talent development team.In this strategic consulting role, you will design and develop h... Voir plus
We are seeking a Manager to lead the development of AI agents for our HR and Finance business.You will be responsible for building and mentoring a high-performing engineering team, driving technica... Voir plus
Located in the heart of downtown Vancouver, between the Pacific Ocean and the Coast Mountains, Teck’s Corporate Office sits in one of Canada’s most culturally diverse cities.Surrounded by world-ren... Voir plus
Êtes-vous enthousiaste à l’idée de créer des solutions logicielles autour de grands systèmes complexes d’apprentissage automatique (AA) et d’intelligence artificielle (IA) ? Souhaitez-vous aider le... 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 (Sr Machine Learning Engineer)
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).
Basic Qualifications (Machine Learning Engineer)
Experience: 5+ 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.BC.VancouverPrimary CAN Base Pay Range: $156,000 - $234,000 CADAdditional CAN Location(s) Base Pay Range: $156,000 - $234,000 CAD
