Hybrid Machine Learning Intern – Legal Knowledge Agent

Posted 2 days ago

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About the role

  • Integrate heterogeneous data types (documents, databases, APIs, LLMs, etc.) into multi-layer knowledge graphs
  • Design agentic strategies and navigation policies that leverage graph topology, semantic relationships, and source reliability
  • Optimize search workflows for speed, accuracy, and relevance in real-world, dynamic environments
  • Conduct research on current methods for constructing and navigating multi-source knowledge graphs
  • Design and implement agentic search strategies capable of reasoning over and traversing graph-based representations
  • Explore integrating Large Language Models to help agents interpret, filter, and rank retrieved information
  • Compare graph learning techniques and agentic planning approaches for search efficiency and relevance
  • Share findings via internal presentations, code, and potentially external publications or meetups

Requirements

  • Currently enrolled in an engineering school or a program related to computer science
  • Working toward a Master’s degree (M2) or an equivalent final degree
  • Available for a full-time, 6-month internship
  • Strong interest in software engineering, web development, or distributed systems
  • Basic knowledge of at least one programming language (e.g., JavaScript/TypeScript, Python, Java, etc.)
  • Eagerness to learn, curiosity, and a willingness to work in a collaborative team
  • Good communication skills and the ability to ask questions, share ideas, and receive feedback

Benefits

  • Dynamic, entrepreneurial work environment
  • "Happy at Work" and "Tech at Work" certifications since 2019

Job title

Machine Learning Intern – Legal Knowledge Agent

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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