Senior Machine Learning Engineer

We're seeking a Senior Machine Learning Engineer to join our Workday AI Team. You'll design, develop, and deploy scalable machine learning models and AI systems that directly impact Workday's core enterprise applications.

Responsibilities:

• Architect & Build: Design, develop, and deploy scalable machine learning models and AI systems
• End-to-End Ownership: Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, optimization, and continuous monitoring
• Cross-Functional Collaboration: Partner closely with Data Scientists, Software Engineers, Product Managers, and UX Designers
• Drive Technical Excellence: Establish and advocate for engineering best practices, robust MLOps processes, and highly optimized code
• Mentorship & Leadership: Guide and mentor junior engineers, conduct code and architecture reviews, and help shape the technical roadmap for your team
• Champion Responsible AI: Ensure all models adhere to Workday's strict standards for data privacy, security, fairness, and ethical AI practices

Requirements:

• 7+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP
• Expert-level proficiency in Python and strong software engineering fundamentals
• Deep hands-on experience with industry-standard machine learning and deep learning libraries
• Proven track record of taking ML models out of research/notebook environments and deploying them into scalable, high-traffic production systems
• Solid experience with cloud computing platforms and modern infrastructure tools

Benefits:

• Competitive salary ($156,000 - $234,000 CAD)
• Comprehensive benefits package
• Flexible work arrangements (Flex Work)

We offer a flexible work environment, allowing you to create a schedule that caters to your business, team, and personal needs.