Machine Learning Engineer III, Metadata Extraction

📋 Description

• Design, build, deploy, and maintain production ML systems.
• Develop data pipelines, prompt/tool design, and agent workflows.
• Collaborate with Product, SRE, Data, and Infra teams to deliver ML capabilities.
• Build scalable services for real-time and batch ML workloads.
• Write production-grade Python code with tests and docs.
• Participate in on-call rotations and triage production issues.

🎯 Requirements

• 3+ years building, deploying, or operating production software/data/ML systems.
• Strong Python programming, production-grade, readable and maintainable code.
• Experience with LLM agents lifecycle: data/eval-set prep, prompting, RAG, eval, deployment
• Familiar with LLM frameworks/libraries (LangChain, LangGraph, PyTorch, Pandas, NumPy) and LLM APIs
• Understand core ML concepts; balance performance, reliability, latency, cost.
• Experience building APIs/services/pipelines in cloud; familiar with CI/CD, observability, testing

🎁 Benefits

• Company benefits and Life at Box overview: https://careers.box.com/en/life-at-box/
• Hybrid working with in-office collaboration; minimum 3 days per week in office.
• Equal opportunity employer; commitment to diversity.