Machine Learning Engineer III, Metadata Extraction

About the role

What is Box?

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

Why Box needs you:

We are looking for a Machine Learning Engineer to design, build, and operate reliable machine learning systems that deliver meaningful product impact at enterprise scale. In this role, you will combine strong software engineering and applied machine learning skills to take solutions from idea through production. You will work closely with engineering, product, data, and infrastructure partners to develop scalable ML and agentic capabilities, improve model quality, and ensure that systems are secure, observable, and dependable for Box customers.

The Metadata Extraction team builds AI-powered capabilities that transform unstructured enterprise content into structured, usable metadata. The team works on the platform and machine learning layer of document understanding, developing and operationalizing technologies such as OCR and LLM-based extraction agents. These capabilities help understand document layout, tables, handwriting, semantic content, and other complex information within enterprise documents. As a Machine Learning Engineer, you will build reliable, scalable systems that support the development, evaluation, deployment, and operation of these AI capabilities. You will collaborate with engineers, product partners, and adjacent platform teams to bring document intelligence features to Box customers at enterprise scale.

What you'll do:

- Design, build, deploy, and maintain production LLM agents, machine learning models and services.

- Develop robust data preparation pipelines, prompt and tool design, and agentic workflows.

- Write high-quality, maintainable, and well-tested Python code for production systems.

- Partner with Product, Software Engineering, Data, and Infrastructure teams to translate customer and business needs into ML-powered capabilities.