Software Engineer Internship (AI Privacy)

Requirements

• Are you a future intern passionate about unraveling complex challenges within the ever-evolving and exciting field of credential security? If so, join Dashlane internship program and shape the future of security!
• English as your working language
• You are studying Computer Science, Software Engineering, Software Security or similar
• You are looking for an end of studies internship
• You have experience* with GitHub, Gitlab or similar
• You have experience* with Typescript/Javascript
• You have a strong interest in security topics and in AI
• You are fluent in English (written and verbal)
• Have a solid foundation in computer science, with strong competencies in data structures, algorithms and software design
• Strong interest in security and AI topics
• Able to take an HTML & CSS web page and extract information to structure it and store it
• Someone technically flexible that can intervene in various subjects (Server, Front, CI)
• We do not require a deep knowledge of each subject, more an ability to work on the different side without being lost

What the job involves

• As an intern as Dashlane, you will be part of the Analysis & Contextual Experience team
• You will work on the AI Data Loss Prevention (DLP) project, a pioneering industry solution that creates a frictionless security layer for tools like ChatGPT or Gemini
• Your work will involve building smart redaction to automatically tokenize PII and secrets in prompts, while developing a seamless workflow that re-injects real data into AI responses to ensure enterprise security and regulatory compliance without compromising the user experience
• You will tackle these software engineering challenges in close collaboration with our team of Software and Machine Learning engineers
• Work on the improvements and maintenance of our machine learning supply chain to build models embedded inside a web extension. This will imply:
• Improving internal tools to collect and label data. Participate to create a GUI for automatic labelling of data
• Improve visibility and accessibility on data used to train our ML models
• Help to structure raw data extracted from the web into structured data ready for training
• Explore AI deployment in the context of a web extension with it's own security and performance specifications (ex: Zero-knowledge architecture)