Machine Learning Engineer, Dashlane
More information about location
3 days a week in office
Password manager & credential security platform
Job no longer available
Password manager & credential security platform
201-500 employees
Job no longer available
More information about location
3 days a week in office
201-500 employees
Company mission
To make security simple for millions of organisations and their people.
Role
Who you are
- You are expected to roll up your sleeves and deep dive into development on need basis
- You should speak the language of business teams and technical teams, able to translate data insights and analysis needs into models
- 3+ years experience in machine learning with an advanced degree in computer science or equivalent
- Programming experience in Python / Scala / Java or equivalent
- Working knowledge of machine learning best practices ( e.g. A/B test, feature engineering, feature/model selection), algorithms ( e.g. gradient boosted trees, deep learning / neural networks , optimization and NLP) and domains ( e.g. natural language processing, anomaly detection, personalization and recommendation)
- Experience in technologies such as TensorFlow or SageMaker
- Experience in building end-2-end ML infrastructure and/or building and productionizing ML models
- Fluent in English: verbal and written
- Self-motivated and self-managing, with organizational skills
- Great communication: Regularly achieve consensus amongst technical and business teams
- Demonstrated capacity to communicate complex business activities, technical requirements, and recommendations clearly and concisely
- Ability to thrive in a distributed organization
- Hands-on experience in data engineering technologies such as Airflow, Kafka, Spark, Kubernetes and data warehouse ( Redshift/Snowflake)
- SaaS industry experience will be a huge plus
- PhD in Computer Science , Machine Learning, Statistics or related field
What the job involves
- We are hiring a Machine Learning Engineer to join our data & analytics team
- Helping us to build & productionize impactful and actionable data models to be used in predictive and prescriptive analytics by our stakeholders and analysts teams
- You will play a pivotal role of managing data at rest and in motion along with governance controls empowering our business & technical users with trusted, timely and actionable data
- You will be responsible for bringing robust, efficient, and integrated data models to life
- Work with batch and real-time operational and product usage data to build and improve ML models for Dashlane business
- Prototype machine learning use cases and work with stakeholders to iterate on requirements
- Develop, productionize, and operate ML models and pipelines at scale
- Drive end-2-end algorithm development of productionized models i.e. specifications, training data generation, testing , parameter and feature tuning
- Collaborate with cross functional partners including data engineers, analysts , product managers and business stakeholders to identify opportunities impacting business
- Identify and articulate areas where data science can help grow company via business operations and product improvements
- Communicate exposition of proposed models to technical and functional stakeholders
- Assist data science team to build MLops workflows and models for predictive modeling & analytics
- We offer a hybrid work arrangement, with Tuesday being the company day, where we all collaborate in the office and have a company-sponsored meal, a department day for team bonding (will be Thursday for your department), and a third day at your choice
Our take
The logins to our online accounts are constantly at risk of being hacked. For both individuals and businesses, cyberattacks are an invasion of privacy that can have both financial implications and cause damage to reputations. Creating more unique and secure passwords can then become harder to remember and more complicated to enter.
Dashlane is a web and mobile app that simplifies password management for people and businesses. It makes the internet easier by auto filling passwords, payments, and personal information. With 15+ million users from over 25,000 businesses across 200 countries currently using its software, the company continuously scans over 20 billion hack/breach records each day.
The company faces stiff competition from the likes of LastPass, 1Password, and Bitwarden. To stay price competitive in the market, Dashlane launched a reduced plan with the essential features and in 2023, launched the Dashlane Confidential SSO (Single Sign-On), further differentiating itself from its competitors. They also have innovative tools and a user-friendly interface which will help it stand out from the crowd.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
May 2019
$110m
SERIES D
May 2016
$26m
SERIES C
Total funding: $166m
Company HQ
Midtown Manhattan, New York, NY
Leadership
John Bennett
(CEO)Prior to joining Dashlane in 2023, Jon was the CEO of Cordance. He also served as the SVP & General Manager of Identity and Access Management Business at LogMeln and as a Senior Product Line Director at Citrix Systems.
Frédéric R.
(CTO)Frédéric has been at Dashlane since 2015, joining as CTO. He also held the role of PResident Dashlane SAS (France) from 2017-2021. Prior to Dashlane, he was the Head of Software Development at Betclic Everest Group.
Dhiraj Kumar
(CMO)Dhiraj joined Dashlane in 2021 as CMO. Prior to this, he was VP of Growth Marketing at BlueVine and a Senior Director of Marketing at PayPal.
David L.
(CFO)David joined Dashlane in 2016 as CFO. Previously he was CFO & SVP of Business Operations at MakeSpace, CFO at Fab, and CFO & EVP of Business Operations at KickApps.
Christophe Frenet
(CPO)Christophe joined Dashlane in 2025 at CPO. Prior to this, he was CPO at Botify, VP of eCommerce at Future, and VP of Performance Marketing & Community/Product Management & Performance Marketing at Purch.
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