About the role#
As a Machine Learning Engineer Intern, you will help develop our intelligent core by contributing to the scalable AI and ML platforms that power personalized experiences for millions of users. You will work alongside experienced engineers and researchers to design, implement, and deploy machine learning models and large language model applications. Most of your time will be spent writing production-quality code, running experiments, and working with large datasets to improve model and system performance.
What you'll do#
- 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 like retrieval and prompt tuning, to power search and enhance user experience.
- Write production-quality code and build scalable components for AI and ML products.
- Build and deploy APIs and microservices using Docker and Kubernetes.
- Design and run evaluations to measure model and system quality, using results to guide future improvements.
What you'll need#
- Currently enrolled in a bachelor's or master's degree program in Computer Science, Data Science, Computer Engineering, Mathematics, Statistics, or a related field.
- Anticipated graduation date between December 2027 and June 2028.
- Less than 12 months of previous professional work experience.
- Experience with software engineering and machine learning concepts through coursework, research, internships, or personal projects.
- Proficiency in Python or another language used for machine learning, data processing, or software development.
- Experience with one or more of the following: RAG, NLP, Pandas, PySpark, or AWS.
- Familiarity with AI tools such as Gemini, Claude, Cursor, or Codex.
- Interest in LLM-based approaches, including retrieval, prompt tuning, embeddings, or model evaluation.
- Excellent verbal and written communication skills.
- You must return to your university degree program after the internship.
Location & details#
- Vancouver, British Columbia: 6-month, full-time, in-person internship from February 2027 to August 2027.
- Toronto, Ontario: 12-week, full-time, in-person internship from May 2027 to August 2027.
- This is a paid, full-time internship. Visa sponsorship is not available for this role.
About Workday
Workday develops enterprise cloud applications for human resources and finance. The company provides tools for payroll, planning, procurement, and talent management. Founded in 2005, it is based in Pleasanton, California. It serves over 10,000 organizations, including many Fortune 500 companies. The firm employs more than 10,000 people.
How to get in at Workday
Securing an internship at Workday requires speed and precision. Because the applicant pool is large, Intern Insider sends an instant alert the moment a role matching your target is published anywhere. This allows you to apply among the first, ensuring your materials are seen before the pile grows. You can also use Intern Insider to surface the recruiters behind the company's roles. Reaching out directly to ask about the position or a referral often improves your response rates compared to submitting an application through the standard portal.
