Senior Machine Learning Engineer

Role overview

Join Workday’s AI team as a Senior Machine Learning Engineer. You will design, develop, and deploy scalable machine learning models and AI systems that directly impact Workday’s core enterprise applications.

Responsibilities

• Own the full ML lifecycle: data extraction, feature engineering, model training, deployment, optimization, and continuous monitoring.
• Architect and build scalable ML/AI systems for high-traffic production use cases.
• Collaborate cross-functionally to translate complex business problems into robust AI solutions.
• Drive technical excellence and establish engineering best practices.
• Mentor junior engineers.
• Champion responsible AI practices.

Requirements

• 7+ years of industry experience in software engineering with strong focus on applied machine learning, deep learning, or NLP.
• Expert-level proficiency in Python and strong software engineering fundamentals (data structures, algorithms, OOP).
• Proven ability to take ML models from notebooks/research to production deployment in scalable systems.
• Cloud & infrastructure experience: AWS or GCP; Docker and Kubernetes.
• Deep hands-on experience with ML/deep learning libraries such as PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
• Bachelor’s or Master’s degree in a quantitative field (Computer Science, Math, Statistics, or equivalent).

Nice-to-haves

• Experience with responsible AI practices (explicitly called out as a focus area).