# Machine Learning Engineer III

Hiring organization: [Workday](https://career.thegoodapps.co/organizations/workday)

Canonical page: https://career.thegoodapps.co/jobs/fd74b8c3-ff15-4efa-a828-f8a37379a769

Listed on Workday's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Salary: 160000 – 240000 USD per year

## Summary

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._

## Skills named

Amazon Web Services (AWS), Docker, Kubernetes, LLMs (Large Language Models), Pandas, PySpark, Python, PyTorch, Retrieval-Augmented Generation (RAG), scikit-learn, TensorFlow

## 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

Apply on Workday's site: https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USA-CA-Pleasanton/Machine-Learning-Engineer_JR-0106147