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. Job Data by YubHub .