Transform user experiences with advanced machine learning as a Machine Learning Engineer on Workday's FIN Hyperautomation AI team in Vancouver. Leverage generative AI and innovative solutions to drive customer outcomes and enhance workflows. In this role, you will develop and implement applied machine learning solutions, guiding them from inception to deployment.

With over 5 years of experience in machine learning engineering, you’ll focus on models using natural language understanding and LLMs. Collaborate with other engineers to scale features and stay updated on the latest AI advancements for creative problem solving. Key Responsibilities:

- Own feature exploration, design, and deployment processes
- Evaluate scalability and observability of solutions




- Apply ML techniques to automate workflows
- Stay current with AI trends and technologies
- Mentor junior engineers in technical skills

Requirements:

- 5+ years in machine learning or software development
- Proficiency in Python and cloud platforms
- Experience building ML services on Kubernetes
- Solid knowledge of ML frameworks like TensorFlow
- Bachelor’s degree in relevant field, Master’s preferred

Elevate customer workflows and create intelligent solutions as part of Workday's mission.

📌 Machine Learning Engineer at Workday (Vancouver)
🏢 Workday
📍 Vancouver