Machine Learning Engineer Intern in Vancouver

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 people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. Our culture is rooted in integrity, empathy, and shared enthusiasm. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive.

About the Team
The Workday Machine Learning team researches, builds, and deploys the engine that powers the heart of Workday’s intelligent core – a platform supporting 37+ million users and growing. Our engineers work with innovative technologies and help build real-life products that improve the lives of the world’s professionals. Our mission is to make machine learning and AI core to Workday’s products.

About the Role
As a Machine Learning Engineer Intern, you’ll help develop Workday’s intelligent core by contributing to the scalable AI and ML platforms that power personalized experiences for millions of users. Working alongside experienced engineers and researchers, you’ll help design, implement, and deploy machine learning models and large language model applications that support innovative data products. Most of your time will be spent writing production-quality code, running experiments, and working with large datasets to improve model and system performance.

Key Responsibilities
- Contribute across the full machine learning lifecycle, from data processing and experimentation through model and system deployment
- Apply machine learning and AI techniques, including deep learning and LLM-based approaches such as retrieval and prompt tuning, to power search and enhance the user experience
- Write production-quality code and build scalable components that support AI and ML products across the Workday platform
- Build and deploy APIs and microservices using a modern engineering stack, including Docker and Kubernetes
- Design and run evaluations to measure model and system quality, using results to guide what to improve or build next

Basic Qualifications
- Currently enrolled in a Bachelor’s or Master’s degree program in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Software Engineering, Computer Engineering, Mathematics, Statistics, or a related degree program
- Less than 12 months of previous professional work experience
- Anticipated graduation date between December 2027 and June 2028
- Available for a full-time, in-person 6-month internship starting in February 2027 and ending August 2027 in the Vancouver office, and you will return to your university degree program after the conclusion of the internship
- Available for a full-time, in-person 12-week internship starting in May 2027 and ending August 2027 in the Toronto office, and you will return to your university degree program after the conclusion of the internship
- Experience with both software engineering and machine learning engineering concepts through coursework, research, internships, or personal projects
- Experience programming in Python or another language used for machine learning, data processing, or software development
- Experience with one or more of the following: Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Pandas, PySpark, or AWS

Other Qualifications
- Interest in LLM-based approaches, such as retrieval, prompt tuning, embeddings, or model evaluation
- Curiosity and eagerness to learn, with an interest in how AI and ML systems are developed, tested, deployed, and improved over time
- Excellent communication skills, both verbal and written, with the ability to share technical ideas clearly and collaborate across teams

Visa sponsorship is not available for this role.

Pay and Benefits
Primary Location: CAN.BC.Vancouver
Primary CAN Base Pay Range: $66,400 - $99,600 CAD

Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Equal Opportunity
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.