Machine Learning Engineer

Dashlane; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Swile card

Well-being days

Mental health services

Equal parental leave

Mentorship program

Résumé du poste

Dashlane is looking for an experienced team member to join their R&D initiatives in Paris, focusing on enhancing user security through AI-driven applications. You will collaborate closely with software and ML engineers, working on innovative projects that protect users from digital threats.

The role offers a hybrid working model with a strong emphasis on collaboration and flexibility. Benefits include mental health support, parental leave, and well-being days, fostering a supportive work environment.

Qualifications

• 4+ years of experience in a product-led company.
• 2+ years in research and development.
• Fluency in machine learning applications.

Responsabilités

• Work on R&D initiatives for credential protection.
• Collect data and train models.
• Deploy and improve AI-powered features.

Connaissances

Machine Learning

Python

Agile methodologies

Data handling

Formation

4+ years of professional experience

Agile team experience

2+ years in R&D

Outils

Scikit-learn

XGBoost

PyTorch

Hugging Face

Description du poste

Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry‑leading innovations, patented zero‑knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally.

At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane, including how we work, how we hire, and the benefits of being a Dashlaner.

About the role

You’ll work on cutting‑edge research in web understanding, using large labelled and unlabelled datasets of web pages. As a member of the ACE team, you’ll help pioneer state‑of‑the‑art web analysis that will make life easier and more secure for millions of people worldwide. The team’s mission is to enhance user security and core product features through intelligent, AI‑powered capabilities, such as improving the autofill experience, detecting credential risks, and protecting against phishing attacks. The team comprises Software Engineers and Machine Learning Engineers to ensure the quality of our analysis.

We leverage advanced Machine Learning techniques to build intelligent security tools within a zero‑knowledge architecture. Our blog post demonstrates how we implement autofill capabilities without accessing user data. We also explain our privacy‑preserving approach to real‑time threat detection and phishing prevention.

Join our team and help us make a difference in the world!

Location

You will be based in Paris, with a hybrid policy (3 office days per week) and English as your working language. Our hybrid culture combines in‑person collaboration with the flexibility of remote work. We come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.

About our stack

• Frontend / internal tooling: React, Typescript
• ML: Python
• MLOps: Dvc, Mlflow
• CI/CD: Gitlab, Sonarqube, Terraform

Responsibilities

• Work on R&D initiatives around web pages understanding and their applications to a Credential Protection (password manager, identity provider, threat detection).
• Collect data, train models, make hypotheses, experiment, and analyse results.
• Deploy, evaluate, and continuously improve AI‑powered features and agentic systems in production, including LLM-based applications, retrieval‑augmented generation, tool‑using agents, and workflow automation.
• 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, and designers in a highly collaborative environment where everyone shares ownership of the company’s success.
• Act as an AI Pioneer within the engineering organisation, demonstrating proven experience integrating modern GenAI tooling into day‑to‑day workflows.
• Learn every day, and share your knowledge with your coworkers.

Requirements

• 4+ years of professional experience in a product‑led company.
• Agile team experience with industry‑grade standards for development and software delivery.
• 2+ years of experience in R&D.
• Practical experience in Machine Learning‑based application.
• Handling large amounts of data.
• Python, ML frameworks (Scikit‑learn, XGBoost, etc.) and deep learning frameworks (PyTorch, Hugging Face, etc.).
• Scientific mindset and technical rigour.
• Fluent in AI‑assisted engineering.
• Fluent in English (the team is international).

Nice‑to‑have

• Experience integrating foundation models, LLM‑powered features, retrieval‑augmented generation, or AI agents into production.
• Experience with Machine Learning cloud platforms (Azure, AWS, GCP).
• Interest in data privacy and online security.

What Dashlane offers you

• Swile card.
• Well‑being days – 4 extra days (one per quarter) to acknowledge the importance of your wellbeing.
• Mental health services through Spring Health for you and your family members.
• Equal Parental leave – regardless of gender, up to 20 weeks fully paid leave to take care of your new baby, within the first year of birth or adoption.
• Mentorship program – select your mentor from our internal pool and continue your learning path.
• Flexible working hours – depending on the role, determine a schedule that fits your needs, in alignment with your manager.
• Team building & seasonal social events.
• Weekly company‑sponsored lunch in the office (Tuesdays), monthly happy hour, and more.

Diversity, Equity, Inclusion, and Belonging

As a truly international company—founded in France and distributed across France, the 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. As set forth in Dashlane’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. The goal for collecting this data is to conduct internal Recruitment D&I studies, to assess our diverse hiring strategies for the company worldwide.