Machine Learning Engineer III, Metadata Extraction

Box
Warsaw
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Growth mindset","Ownership mindset","Problem-solving","Collaboration","Clear communication"]

Design, build, deploy, and operate LLM agents and machine learning services that extract structured metadata from unstructured enterprise documents. Own robust data preparation and agentic workflows, write production-grade Python systems, and collaborate across engineering, product, data, and infrastructure. Evaluate quality via offline/online metrics, monitor reliability and drift in production, and help create scalable pipelines, technical designs, tests, and operational runbooks while participating in on-call.

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FursaFursa
Box
Box
3 days ago

Machine Learning Engineer III, Metadata Extraction

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Design, build, deploy, and operate LLM agents and machine learning services that extract structured metadata from unstructured enterprise documents. Own robust data preparation and agentic workflows, write production-grade Python systems, and collaborate across engineering, product, data, and infrastructure. Evaluate quality via offline/online metrics, monitor reliability and drift in production, and help create scalable pipelines, technical designs, tests, and operational runbooks while participating in on-call.
Location: Warsaw
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, deploy, and maintain production LLM agents, machine learning models, and services.
  • •Develop data preparation pipelines, prompt/tool design, and agentic workflows.
  • •Write high-quality, maintainable, well-tested Python code for production ML systems.
  • •Evaluate and improve agent quality using offline/online metrics, eval sets, experiments, and feedback loops.
  • •Monitor production ML systems for quality, reliability, latency, cost, and drift; investigate and resolve issues, and support on-call triage.

Key Requirements

  • •3+ years building, deploying, or operating production software, data, or machine learning systems.
  • •Strong Python skills for production-grade, readable, testable, maintainable code.
  • •Practical experience with the LLM agents lifecycle, including eval-set preparation, prompting/tooling, RAG, and deployment/monitoring.
  • •Experience with LLM application frameworks/libraries such as LangChain, LangGraph, PyTorch, Pydantic, Pandas, or NumPy, and comfort calling LLM APIs (e.g., Gemini, Claude, OpenAI).
  • •Familiarity with CI/CD, observability, testing, and production support practices.
Experience:3+ years
Skills:Growth mindsetOwnership mindsetProblem-solvingCollaborationClear communication
Tech Stack:PythonLLM agentsOCRLLM-based extraction agentsRAGLangChainLangGraphPyTorchPydanticPandasNumPyGeminiClaudeOpenAIAPIsCI/CDObservabilityCIKubernetesTerraform

Company Brief

Box
Provides cloud content management, file sharing, and collaboration services for businesses, enabling secure content storage, workflow automation, and integrations with enterprise apps to manage and share files across organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Redwood City, United States
Founded: 2005
WebsiteLinkedIn