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Senior Machine Learning Engineer 🔥


At Dashlane we believe in leading with employee choice and respect peoples' different needs and preferences. Our interview process follows this same principle. In light of the ongoing pandemic, most people are currently choosing to interview remotely via Zoom. If you have different preferences, we welcome you to discuss them with us and we'll 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. 

Our global team with offices in Paris, New York, and Lisbon is united by a strong sense of community and passion for improving the digital experience. Over 15 million users and 20,000 businesses in 180 countries use Dashlane for a faster, simpler, and more secure internet.

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. We recently entirely rewrote our analysis engine to rely on Machine Learning, take a look at this blog article [1] to know more.

Location:

This role can be based either in person at any of our offices (Paris, Lisbon, New York), or work remotely anywhere in the world in time zones that are close enough to enable efficient collaboration, and assuming you are ready to travel regularly to meet with the team. You will work with a team mostly in Europe and on the east coast of the US, and at this point in our asynchronous evolution, you will want to align your core hours within that.

About our stack:

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

At Dashlane you will:

  • Lead 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
  • Participate in cross-team side projects such as "how to improve knowledge sharing across teams" or "how to improve happiness in the team"
  • Learn every day, and share your knowledge with your coworkers

Requirements:

  • 4+ years of experience in Machine Learning
  • 3+ years of experience in Information Retrieval or Natural Language Processing
  • 2+ years of experience leading Machine Learning projects from the idea to production
  • 2+ years of experience with Machine Learning cloud platforms (Azure, AWS, GCP)
  • Fluency in English

We're also looking for:

  • Experience in handling large amounts of data
  • Experience working with unit testing, CI/CD, and various build tools
  • Interest in JavaScript, Web technologies and embedding Machine Learning within web applications
  • Interest in data privacy and online security

Get to know your manager:

Hi! I’m Laure, and I’m the Web Engineering Manager for the Core Analysis team.

I joined Dashlane a few years ago, and over the years I've seen the company grow and make security more accessible for everybody on the Web. I have contributed to the growth of the Core Analysis team all these years, and while we have evolved a lot since then, I believe there are still many opportunities and untraveled paths to explore on the road to understanding web pages.

As a manager, I believe in empowering people to deliver their best and propose new ideas to improve our engineering practices.

Please feel free to reach out to me on LinkedIn [2] if you have any questions about the role, Dashlane, or my experiences. Thanks for reading!

 

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.

Your interview experience: 

To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane in this blog article [3] written by our Talent team. Feel free to browse our blog to find more information about our product and how we work.


  1. https://blog.dashlane.com/autofill-machine-learning/
  2. https://www.linkedin.com/in/laure-hugo/
  3. https://blog.dashlane.com/how-we-interview-and-hire-at-dashlane/

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