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.
About the role:
Join Dashlane as a talented Machine Learning Engineer with a PhD and take part in a mission to create the fastest and most accurate autofill in the industry!
You'll work on cutting-edge research in web understanding, using large labelled and unlabeled datasets of web pages. As a member of the ACE team, you'll help pioneer a state-of-the-art web analysis that will make life easier for millions of people worldwide. Its mission is to enhance user security and core product features through intelligent, AI-powered capabilities, such as improving the autofill experience, detecting credential risks, and protecting against phishing attacks. The team comprises Software Engineers, and Machine Learning Engineers, to ensure the quality of our analysis.
We leverage advanced Machine Learning techniques to build intelligent security tools within a zero-knowledge architecture. Our blog post demonstrates how we implement autofill capabilities without accessing user data. We also explain our privacy-preserving approach to real-time threat detection and phishing prevention.
We also advocate for public specifications for field autofill, like Semantically Annotated Web Forms.
Join our team and help us make a difference in the world!
Location:
You will be based in Paris, with English as your working language. We offer a hybrid work arrangement, with Tuesday as the company day where we collaborate in the office and enjoy a company-sponsored meal, a department day for team bonding, and a third day of your choice.
About our stack:
Languages: Python, Typescript
ML: Scikit-learn, Optuna, Onnx
MLOps: Dvc, Mlflow
Monitoring: Tableau
Versioning: Gitlab
Misc: Gitlab CI, Gitlab for Project Management, Confluence
At Dashlane you will:
Work on R&D initiatives around web pages understanding and their applications to a password manager and identity provider
Help maintain and improve our existing data pipelines (data collection tools and databases, model training pipelines, integrations into the Dashlane web extension)
Work with ML Engineers, Software Engineers, product managers, designers in a highly collaborative environment where everyone shares ownership of the company's success
Learn every day, and share your knowledge with your coworkers
Jeune Docteur Requirements:
You are looking for your first job with a permanent contract (CDI) since you obtained your PhD.
A PhD/Doctoral degree in Information Retrieval or Natural Language Processing or Computer Science
2+ years of experience in handling large amounts of data
3+ years of experience working with Python, Scikit-learn and deep learning frameworks (Tensorflow, Keras, ..)
Nice-to-have:
Interest in JavaScript, Web technologies and embedding Machine Learning within web applications
Experience with integrating foundation models in product
Experience with Machine Learning cloud platforms (Azure, AWS, GCP)
Interest in data privacy and online security
Diversity, Equity, Inclusion and Belonging at Dashlane:
As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here.
Your interview experience:
To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.
Dashlane is a cross-platform subscription-based password manager and digital wallet application available on macOS, Windows, iOS and Android.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Machine Learning Engineer Q&A's