Machine Learning Researcher (Recent PhD Graduate)

About Dashlane Dashlane's mission is to provide simple security solutions for millions of organizations and their personnel. We empower businesses of all sizes to safeguard their company and employee data, while also facilitating easy login to needed accounts from any location at any time. Dashlane is used by over 17 million users and 20,000 businesses in 180 countries for a faster, more straightforward, and more secure internet experience. Our global team shares a strong sense of community and a passion for improving our users' digital experience. Learn more about how we work, how we hire, and the benefits of being a Dashlane employee on our Life at Dashlane page. About the role: Dashlane is looking for a talented Machine Learning Engineer with a PhD to join our Analysis and Contextual Experience (ACE) team. You will work on forefront research in web understanding, utilizing large labeled and unlabeled datasets of web pages. As a part of the ACE team, you will help pioneer cutting-edge web analysis that will simplify the lives of millions worldwide. The ACE team provides webpage analysis to other Dashlane divisions, enabling significant functions such as autofill of credentials and detecting phishing attempts on our customers. The team includes Software Engineers, Machine Learning Engineers, and a Data Collection Engineer to ensure the quality of our analysis. We use a variety of Machine Learning techniques like logistic regression, hierarchical classification, and state-of-the-art Natural Language Processing neural network architecture to power our analysis engine. This blog post explains our current analysis approach on the web, and we wrote about the lessons we've learned from tracking machine learning experiments with ClearML. We also advocate for public specifications for field autofill, like Semantically Annotated Web Forms. Join our team and help us make a worldwide difference! Location: The role is based in Paris, with a flexible hybrid work schedule and English as the working language. We offer relocation support. About our stack: Languages: Python, Typescript ML: Scikit-learn, TensorFlow MLOps/Experimentation: ClearML Monitoring: Tableau Versioning: Gitlab Misc: Gitlab CI, Gitlab for Project Management, Confluence At Dashlane you will: Work on R&D initiatives around understanding web pages 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 Requirements for Young Doctors: You are looking for your first job with a permanent contract (CDI) since receiving your PhD. A PhD/Doctoral degree in Information Retrieval or Natural Language Processing or Computer Science 2+ years of experience handling significant data volumes 2+ years of experience working with Python, Scikit-learn, and deep learning frameworks (Tensorflow, Keras, etc.) Nice-to-haves: Interest in experimenting with LLMs. Experience with Machine Learning cloud platforms (Azure, AWS, GCP) Interest in JavaScript, Web technologies, and embedding Machine Learning within web applications Interest in data privacy and online security Diversity, Equity, Inclusion and Belonging at Dashlane: As a genuinely international firm—established in France and distributed across France, the US, and Portugal—Dashlane thrives on wide-ranging perspectives. We value diversity in all its forms: gender identity, sexual orientation, abilities, ethnic origin, social background, age, lifestyle, and more. We are dedicated to hiring a diverse workforce and fostering a culture where everyone is heard and included. Learn more about this here. Your interview experience: To know what to expect once you have submitted your application, read about how we interview and hire at Dashlane. Feel free to browse our blog for more information about our product and how we work.