Elevate your career with Workday as a Senior Machine Learning Engineer. Play a key role in scaling AI solutions and managing innovative models in a flexible work environment.

As part of the AI Model Serving team, you will leverage your technical expertise to shape the platform's vision. This role emphasizes building and operating large-scale systems, ensuring seamless deployment of ML models, and driving performance across the board. By fostering a collaborative team culture, your contributions will help Workday serve AI at scale effectively.

Key Responsibilities:
• Lead design decisions for high-performance ML systems
• Implement and maintain large-scale machine learning frameworks
• Collaborate with engineering peers to enhance integration pipelines




• Troubleshoot and resolve production issues for system health
• Document and share industry best practices with the team

Requirements:
• 6+ years in software development and distributed systems
• Bachelor's in Computer Science or related field
• Expertise in Kubernetes and GPU infrastructure
• Proficiency in Python for building production code
• Familiarity with LLMs and traditional ML models

Shape the future of AI at Workday, while leading creative solutions and nurturing team talent.
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📌 Senior Machine Learning Engineer at Workday (British Columbia)
🏢 Workday
📍 British Columbia