ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

Machine Learning Engineer at Box - ApplyBlast

Machine Learning Engineer

Box

2 months ago

4.0 on Glassdoor

Wrocław, Lower Silesian Voivodeship, Poland

Hybrid

Full Time

Medior

0 applicants

View Job Listing

Apply to 100+ jobs

About this role

Box is seeking a Machine Learning Engineer to design, build, and operate reliable ML systems that deliver product impact at enterprise scale. The role focuses on developing and operationalizing AI-powered metadata extraction capabilities, including LLM agents, OCR, and document understanding technologies. The engineer will collaborate with product, engineering, data, and infrastructure teams to create scalable, secure, and observable services for Box customers.

Responsibilities

Design, build, deploy, and maintain production LLM agents and services
Develop robust data preparation pipelines and agentic workflows
Monitor and troubleshoot production ML systems for quality and reliability

Skills

About Box

box.com

Headquarters

Redwood City, California, United States

Company Size

1001-5000 employees

Founded

2005

View Profile

Box is a cloud content management and file-sharing platform that helps organizations securely store, manage, and collaborate on files across devices and teams. It provides secure file sharing, content lifecycle and workflow automation, metadata/search, e-signature and analytics, and enterprise-grade security and compliance controls (encryption, DLP, CASB, SOC/ISO/HIPAA support). Box integrates with major productivity and business apps (Microsoft 365, Google Workspace, Salesforce, Slack), and exposes APIs and developer tools so companies can build custom apps and embed secure content services into their workflows. Companies choose Box for centralized governance, scalable cloud storage, and secure collaboration across distributed workforces.