Machine Learning Researcher (Remote Eligible- France)

At Dashlane we believe in leading with employee choice and respect peoples' different needs and preferences. Our interview process follows this same principle. Currently, most people are choosing to interview remotely via Zoom. If you have different preferences, we welcome you to discuss them with us and we will do our best to accommodate.

About Dashlane

Dashlane's mission is to make security simple for millions of organizations and their people. We empower businesses of every size to protect company and employee data while helping everyone easily log in to the accounts they need—anytime, anywhere. Over 17 million users and 20,000 businesses in 180 countries use Dashlane for a faster, simpler, and more secure internet.

We continue to be an employee-choice hybrid workplace, with some people working remotely, some in our offices in Paris, New York, and Lisbon, and some doing a mix that suits them and their roles.

Our global team is united by a strong sense of community and passion for improving the digital experience of our users. Learn more about how we work, how we hire, and the benefits of being a Dashlaner in our Life at Dashlane page.

Are you a researcher in Machine Learning looking for opportunities to see your research go to production? Does your vision of the internet include users having control of their identities and data?

Join Dashlane as a Machine Learning Engineer and take part in a mission to create the fastest and most accurate autofill in the industry!

About the role:

Dashlane is looking for a Machine Learning Engineer,PhD, to join our Core Analysis team. You will be working on state-of-the-art research on web understanding, relying on large labelled and unlabelled datasets of web pages.  As a member of the Core Analysis Team, you’ll help pioneer a brand new, cutting-edge web analysis that will make life easier for millions of people worldwide.

The Core Analysis team provides an analysis of the webpages to other parts of Dashlane, unlocking major functionalities like the autofill of credentials, and the automagic change of password. The team is composed of Software Engineers, Machine Learning engineers and a Data Collection Engineer, to ensure the quality of our analysis. Our analysis engine leverages various Machine Learning techniques such as logistic regression, hierarchical classification and state-of-the-art Natural Language Processing neural network architecture. The team also advocates for public specifications for field autofill, like Semantically Annotated Web Forms.

Location:

At Dashlane, you'll be able to opt to work from the Paris office or remotely. If you choose to work remotely, we are flexible on your location, as long as you are in France.

About our stack:

• Languages: Python, Typescript
• ML: Scikit-learn, TensorFlow
• Monitoring: Tableau
• Versioning: Gitlab
• Misc: Gitlab CI, JIRA, 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

Requirements:

• Doctoral degree on Information Retrieval or Natural Language Processing
• 2+ years of experience in handling large amounts of data
• 2+ years of experience working with Python, Scikit-learn and deep learning frameworks (Tensorflow, Keras, ..)

Nice-to-have:

• 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 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.