Machine Learning Engineer

About Dashlane

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.

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 a 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. We advocate for public specifications for field autofill, such as Semantically Annotated Web Forms.

Location

You will be based in Paris, with a hybrid policy (three office days per week) and English as your working language. Our model is designed to strengthen team connections while supporting individual productivity and work‑life balance. We come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.

Stack

• Languages:
  • Backend: NodeJS, Typescript
  • Frontend / internal tooling: React, Typescript
  • ML: Python
• ML: Scikit‑learn, Optuna, Onnx
• MLOps: Dvc, Mlflow
• Versioning: Gitlab
• CI/CD: Gitlab, Sonarqube, Terraform
• AI: Claude Code

What You Will Do

• Work on R&D initiatives around web page understanding and their applications to credential protection (password manager, identity provider, threat detection).
• Collect data, train models, formulate 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 (RAG), 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

• A Master / Engineer degree in Machine Learning / AI or Computer Science.
• 4+ years of professional experience in a product‑led company, including:
• Agile team with industry‑grade standards for development and software delivery.
• Including 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, …) and deep learning frameworks (PyTorch, Hugging Face, …).
• Scientific mindset and technical rigour.
• Fluent in AI‑assisted engineering.
• Fluent in English (the team is international).

Nice to Have

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

Benefits

• 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 their 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 need, 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, 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.