• Full Time
  • Paris

Website Dashlane Dashlane

Dashlane

Are you an expert in Machine Learning obsessed with solving complex problems and algorithms to fix the UX of the Internet? Are you passionate about how to create a safer internet?  Do you enjoy bringing innovation in an evolving and innovative environment?

Join Dashlane as a Machine Learning Engineer and take part in a mission to create a complex and secured autofill engine with global impact. 

About Dashlane 

The internet has optimized nearly every part of our lives…except for the internet itself. Consider every form you fill out online: each week, the average internet user manually enters a mix of their name, address, phone number, payment info, usernames, and passwords hundreds of times on multiple devices, apps, and browsers.

Dashlane is a mobile and desktop app that gives you a shortcut for everything you do online. Log in instantly, fly through forms, and breeze through checkouts on every device you own. Dashlane works across every operating system, device, and browser, opening the walled gardens that normally inhabit our digital experience.

Our team in Paris, New York, and Lisbon is united by our passion for improving the digital experience and the belief that with the right tools, we can help everyone realize the promise of the internet. Dashlane has empowered over 14 million users in 180 countries to dash across the internet without compromising on security.

About the role 

Dashlane is looking for a talented Machine Learning Engineer for whom delivering correct algorithmic is not enough, and who is always looking for the best quality/performance/cost ratio.

You will contribute to our web page analysis engine which analyzes and autofills fields and forms, and do experimentations around the automation and security of digital identity.

You’re comfortable putting forward your ideas and have a strong passion for delivering the best experience to users.

You will be based in Paris, with English as your working language. We offer relocation support.

At Dashlane you will

Improve our web page analysis engine to better understand fields and forms to provide the best autofill/autologin to our users
Work with your team to develop innovative features from inception to release and bring happiness and convenience to our users
Take ownership of not only the features you develop but also all aspects of the Dashlane applications
Participate in internal training, architecture reviews and hackathons to raise the bar
Work with your team to develop innovative features from inception to release
Communicate clearly with the team and also product, QA, design, and other platforms teams during the development lifecycle
Participate in meetups and events: we send developers to conferences each year, and we participate in the top conferences around Europe

Requirements

5+ years of working experience in Machine Learning
2+ years of experience implementing trainer and classifier and to find the best-fitted algorithm for their needs.
3+ years of experience working with Javascript and Python
Fluency in English

We’re Also Looking For

Excellent project and time management skills
Strong problem solving and analytical skills
Great communication and knowledge sharing skills
Proven experience implementing results of your research in production (performance/quality)
You are experienced with Agile methodology
You have good knowledge of the web-base ecosystem
NLP notions are a plus

Diversity at Dashlane

A truly international company, founded in Paris and currently split between Paris, New York, and Lisbon, we thrive off diverse perspectives. We recognize that diversity has different aspects: gender, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We’re committed to hiring people that create a diverse community and foster a culture where everyone is heard and feels a sense of belonging.

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 written by our Talent team. Feel free to browse our blog to find more information about our product and how we work.

To apply for this job please visit grnh.se.