Software Engineer Stage de fin d' tudes
Software Engineer Intern role at Dashlane, focusing on credential security, innovation, and user experience, utilizing technologies such as Python, Node.js, Machine Learning, and AWS.
About Dashlane
Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally.
We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane , including how we work , how we hire , and the benefits of being a Dashlaner .
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!
About the role:
Want to ship code that impacts millions, learn Machine Learning, and potentially land a full-time job—all in six months? Dashlane’s ACE team is looking for a Software Engineer Intern to help own Marshmallow , our ML-focused monorepo. You’ll work on WebAnalysis, a smart semantic engine that breaks down web pages and predicts form classifications in real time. It's the ultimate playground to sharpen your full-stack skills, learn secure coding, and dive into Agile.
Location:
You will be based in Paris, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.
At Dashlane you will:
Work on creating and improving the analysis will try to predict the classification of the forms and fields
Work on developing a tool that scraps & classifies vortex captures with Tiresias and generate their subsequent Brian entries.
Improve efficiency and ease of ML experimentation
Find bright solutions to challenging problems
Requirements:
*This experience can be academic, personal projects, etc. Make sure to refer to them in your CV!
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Posted June 6, 2026