Software Engineer III, Metadata @ Box Inc.

3+ years of professional software development experience Familiarity with Java AND Python, Pub/Sub, BigQuery, API Strong understanding of common algorithms, data structures and code design principles Strong grasp of high-scale distributed systems Bachelor's degree or equivalent in Computer Science, Mathematics or a related field Passionate about AI technologies, basic knowledge in AI/ML is a nice-to-have Strong sense of ownership, persistence and drive, strong communication skills **Our compensation structure is the base salary and equity in the form of restricted stock units. 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 AstraZeneca, 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 The Metadata Extract team at Box drives critical innovation in intelligent content processing using cutting-edge Agentic AI technologies. We develop proprietary systems leveraging OCR and LLMs to deeply understand documents and extract key information at scale - enhancing productivity and automating workflows. Our work powers essential features across Box by turning unstructured content into structured data. In this role, you’ll work alongside a passionate and experienced team of Machine Learning Engineers to design and deliver intelligent systems that meet the highest standards of availability, scalability, security, and compliance. You’ll play a pivotal role in shaping the future of AI at Box, building robust pipelines and infrastructure that bring cutting-edge research into production at enterprise scale. Whether it’s processing millions of documents daily or enabling smarter decision-making through AI, the Metadata Extract team is at the heart of Box’s mission to make the world’s content both more useful and more valuable. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process. ,[Play a key role in designing and developing services for intelligent content processing and metadata extraction, Implement new services and use cases while phasing out the old ones, Implement inter-service communication using APIs and Pub/Sub messaging systems., Maintain system health through monitoring, observability, logging, and metrics collection, Scale services to meet enterprise-grade quality standards for performance, reliability, and availability, Work closely with Machine Learning Engineers, Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.] Requirements: Java, Python Tools: Jira, Github, Confluence, GitHub, Agile, Scrum. Additionally: Sport subscription, Private healthcare, Creative tax, Lunch card, Equity, Stock options, Additional holidays, No probation period, International projects, Life & group insurance, Free coffee, Playroom, Shower, Free snacks, Free beverages, Modern office, In-house trainings, Free lunch, No dress code, Free breakfast.