Analyst supporting legal operations and financial management at Localiza&Co. Involves data analysis, cost management, and collaboration with legal and financial teams.
About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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