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Senior Machine Learning Engineer - AI Platform

full time · Senior

$163,000 – $288,000

Listed on Workday’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role involves developing machine learning systems and AI-powered services at scale, working with large language models, retrieval-augmented generation, and agentic reasoning to build features across Workday's product suite. It suits experienced ML engineers who can design and ship production systems, lead technically, and stay current with advances in AI.

Our summary, not Workday’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

Bachelor's degree in engineering, data science, computer science, physics, mathematics or equivalent
6+ years building applied machine learning products at scale from research through production evaluation
5+ years professional experience with Python and numeric libraries shipping production code and models
5+ years professional experience with cloud computing platforms

Nice to have

Master's or PhD degree
3+ years building information retrieval or graph-based recommendation systems
3+ years hands-on development of LLMs, text generation models, or graph-based ML models for production
3+ years building services hosting ML models in production at scale
3+ years with ML and deep learning frameworks like PySpark, PyTorch, TensorFlow, Scikit-learn
3+ years with data engineering and data wrangling using Pandas, PySpark, Kubernetes, Docker
Deep understanding of statistical analysis, supervised and unsupervised learning, NLP for retrieval and recommendations
Experience independently solving ambiguous problems and technically leading teams