Senior ML Engineer - Hybrid/Remote, Document Intelligence

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

Job summary

Workday is seeking a Machine Learning Engineer to join the Document Intelligence team, building and deploying the core platform as a service. You will work on generic document entity extraction, entity resolution, and document classification using modern AI/ML techniques.

You will collaborate with software engineers, product managers, and other ML teams, owning parts of the end-to-end ML lifecycle, from data preprocessing to deployment, with a focus on automation, observability, and scalability.

Qualifications

• 3+ years of production ML experience focusing on ML; deep learning, NLP, IR, recommender systems.

Responsibilities

• Design and develop core Document Intelligence features using LLM-based technologies.

Skills

Deep ML capabilities

Python

NLP / Information retrieval

LLM-powered products

Agentic systems

Education

Advanced degree (MS/PhD)

Tools

PyTorch

TensorFlow

Docker

Kubernetes

AWS

GCP

LangChain/LangGraph

PySpark/SQL

Job description

Workday is seeking a Machine Learning Engineer to join the Document Intelligence team, building and deploying the core platform as a service. You will work on generic document entity extraction, entity resolution, and document classification using modern AI/ML techniques.

You will collaborate with software engineers, product managers, and other ML teams, owning parts of the end-to-end ML lifecycle, from data preprocessing to deployment, with a focus on automation, observability, and scalability.