Step into an impactful role as a Machine Learning Engineer Intern with Workday. This position focuses on designing and deploying machine learning models to enhance user experiences for millions. Workday seeks a driven intern to contribute to its Machine Learning team, partnering with seasoned professionals. This internship emphasizes real-world application of software engineering and machine learning knowledge. You'll engage in coding, running experiments, and working with extensive datasets to refine models and systems. Key Responsibilities:
- Contribute to the machine learning lifecycle from data processing to deployment
- Apply AI techniques, including deep learning for enhanced user experience
- Write production-quality code for scalable AI components




- Build and deploy APIs using modern Docker and Kubernetes stacks
- Design evaluations to assess system and model quality Requirements:
- Enrolled in a Computer Science or related degree program
- Less than 12 months of previous work experience
- Familiarity with programming languages like Python
- Interest in LLM-based approaches and machine learning concepts
- Curiosity and eagerness to learn about AI system development Join Workday to leverage your machine learning skills to shape cutting-edge products. #J-18808-Ljbffr

📌 Machine Learning Engineer Intern At Workday (Toronto)
🏢 Workday
📍 Toronto