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 up-to-date 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 innovative products.
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📌 Machine Learning Engineer Intern at Workday (British Columbia)
🏢 Workday
📍 British Columbia