Machine Learning Intern improving AI functionalities in a leading SaaS legal tech company. Working on model architecture, fine-tuning, and optimizing AI pipelines with high-quality datasets.
Responsibilities
Improve the performance and impact of AI features within the DiliTrust product suite
Optimize both our in-house LLM and the workflows that leverage it
Select model architecture and perform fine-tuning using high-quality legal datasets
End-to-end optimization of AI pipelines that power our legal features
Evaluate and compare open-source LLMs for legal extraction and reasoning tasks
Create and refine legal datasets for supervised and reinforcement learning (RL)-based training
Analyze current AI pipelines to identify bottlenecks, redundancies, and accuracy gaps
Audit internal datasets to verify coverage and annotation accuracy
Improve prompting strategies tailored to the chosen architecture
Preserve general capabilities in phase 1 and specialize in phase 2
Requirements
Currently enrolled in an engineering school or a computer-related program
Pursuing a Master’s degree (M2) or equivalent final qualification
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)
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
Certified 'Happy at Work' and 'Tech at Work' labels
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