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Machine Learning Engineer III

full time · Senior

$160,000 – $240,000

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

What this role is

Build machine learning systems and AI-powered features for Workday's enterprise platform, working on large language models, retrieval-augmented generation, and agentic AI at scale. This role suits experienced ML engineers who can design and ship production systems while staying current with AI advancements.

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, computer science, data science, physics, math or equivalent
3+ years building applied machine learning products at scale from research through production
3+ years professional Python experience shipping production code and models
3+ years cloud computing platform experience (AWS, GCP, etc.)

Nice to have

Master's or PhD degree
3+ years building information retrieval or graph-based recommendation systems
3+ years developing LLMs, text generation, or graph-based ML models for production
3+ years hosting ML model services in production at scale
3+ years with deep learning frameworks (PySpark, PyTorch, TensorFlow, Scikit-learn)
3+ years data engineering and wrangling with Pandas, PySpark, Kubernetes, Docker
Deep statistical analysis and NLP expertise for information retrieval and recommendation systems
Experience independently solving ambiguous problems and technically leading teams