Senior ML Engineer — LLMs, Agents & Production AI

Workday; Pleasanton (CA); Hybrid; USD 160,000 - 240,000; Full time

Job summary

Workday’s AI Core team builds AI-powered software that processes HR and finance data at scale. As a Machine Learning Engineer on this team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG, collaborating with engineers to deploy ML models and APIs across Workday’s ecosystem.

You will own exploration, design, and implementation of features for sophisticated ML platforms, ensuring scalability and observability, while applying ML techniques to analyze large

Qualifications

• Bachelor’s degree in engineering, data/computer science, physics, math or equivalent.
• 3+ yrs experience in data science, ML engineering or similar software development team building applied ML products at scale.
• 3+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models.
• 3+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)

Responsibilities

• Own exploration, design and implementation of features for our sophisticated ML platforms, pipelines and services.
• Be responsible for evaluation, scalability and observability of these features.
• Apply machine learning techniques including LLMs and natural language understanding to analyze HR and Finance text data and design cloud-based ML architectures
• Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
• Serve as a technical role model for more junior engineers

Skills

Python

LLMs

NLP

Info retrieval

Graph-based models

Production ML

Team leadership

Cloud platforms

Education

Bachelor’s degree in engineering or related field

Master’s or PhD preferred

Tools

PyTorch

TensorFlow

Scikit-learn

PySpark

Kubernetes

Docker

Pandas

Job description

Workday’s AI Core team builds AI-powered software that processes HR and finance data at scale. As a Machine Learning Engineer on this team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG, collaborating with engineers to deploy ML models and APIs across Workday’s ecosystem.

You will own exploration, design, and implementation of features for sophisticated ML platforms, ensuring scalability and observability, while applying ML techniques to analyze large