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$228,000 – $342,000
Listed on Workday’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead the design and implementation of machine learning systems powering Workday's AI agents in production, owning the full lifecycle from research through deployment and monitoring. This role suits senior ML engineers who excel at building scalable, enterprise-grade systems and mentoring technical teams in a collaborative, hands-on environment.
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
- 7+ years building applied machine learning products at scale from research through production
- 3+ years with PyTorch or TensorFlow
- 4+ years deploying ML models at production scale
- 2+ years working with LLMs or text generation models
- 4+ years with cloud platforms like AWS or GCP
- Track record leading and mentoring ML engineering teams
- Bachelor's degree in engineering, computer science, physics, or math
Nice to have
- Master's or PhD degree
- Experience with statistical analysis and unsupervised/supervised learning
- Background in NLP for information retrieval or recommendation systems
- Experience independently solving ambiguous, open-ended problems