Machine Learning Intern joining Legal Tech company DiliTrust, working on agentic knowledge retrieval systems. Focusing on integrating heterogeneous data types into multi-layer knowledge graphs.
Responsibilities
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
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