Machine Learning Engineer III, Metadata Extraction

About the Position

We are looking for a Machine Learning Engineer III for Metadata Extraction to join our team in Wrocław, Poland. At Box, we are the leader in Intelligent Content Management, and we are on a mission to bring intelligence to the world of content management. By joining Box, you will have the unique opportunity to continue driving our platform forward and be at the forefront of transforming how the world works together.

Responsibilities

• 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.
• Evaluate and improve agents quality using appropriate offline and online metrics, eval sets, experiments, and feedback loops.
• Monitor production ML systems for quality, reliability, latency, cost, and data or model drift; investigate and resolve issues as needed.
• Contribute to the architecture of scalable services and pipelines that support real-time and batch ML workloads.
• Create clear technical designs, documentation, tests, and operational runbooks.
• Share knowledge, contribute to engineering best practices, and help raise the bar for code quality and operational excellence.
• Participate in an on-call rotation and help triage production issues when on call.

Requirements

• 3+ years of experience building, deploying, or operating production software, data, or machine learning systems.
• Strong programming skills in Python and comfortable writing production-grade, readable, testable, and maintainable code.
• Practical experience with the LLM based agents lifecycle: data and eval-set preparation, prompting and tool schemas, RAG, evaluation, deployment, and monitoring.
• Experience with LLM application frameworks and libraries, such as LangChain, LangGraph, PyTorch, Pydantic, Pandas, or NumPy, and comfortable calling LLM APIs (e.g. Gemini, Claude, OpenAI).
• Understanding of core machine learning concepts and ability to make pragmatic trade-offs between model performance, reliability, latency, scalability, and cost.
• Experience building APIs, services, pipelines, or distributed systems in a cloud environment.
• Familiarity with CI/CD, observability, testing, and production support practices.
• Clear communication skills with both technical and non-technical partners.
• Ownership mindset, enjoys solving ambiguous problems, and works collaboratively across teams.

Nice to Have

• Experience with MLOps tooling, model monitoring, feature stores, workflow orchestration, or experiment tracking.
• Experience with generative AI in production: multi-provider gateways, semantic search, or structured extraction.
• Experience with multimodal intelligent document processing workflows.
• Experience with a major cloud platform, including GCP, AWS, or Azure, and technologies such as Kubernetes and Terraform.
• Experience with SQL and large-scale analytics (e.g. BigQuery) for quality, cost, and incident investigation.
• Experience in enterprise software, security, search and retrieval, or content intelligence.
• Experience mentoring engineers or contributing to technical direction.

Methodology

• Agile management - Scrum
• Issue tracking tool - Jira
• Knowledge repository - GitHub Enterprise
• Code reviews - GitHub Enterprise
• Version control system - GIT

We Offer

• Competitive salary and benefits package.
• Opportunity to work in an AI-first company.
• Collaborative and inclusive company culture.
• Focus on community and in-person collaboration.
• Minimum of 3 days per week in the office.

About the Company

Box is the leader in Intelligent Content Management, empowering organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. We are headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

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. Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice.

For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.

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