Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Engineer (AI/ML): Developing state-of-the-art web analysis and AI-powered capabilities to enhance user security and autofill experiences with an accent on web understanding and credential protection. Focus on deploying LLM-based applications, RAG, agentic systems, and optimizing data pipelines for real-time threat detection.
Location: Hybrid in Paris, France (3 office days per week)
Company
is a leading credential security company providing password management and zero-knowledge security to millions of users and thousands of brands worldwide.
What you will do
- Conduct R&D on web page understanding for credential protection and threat detection.
- Train models, experiment with hypotheses, and analyze results using large datasets.
- Deploy and improve AI features, including LLM applications, RAG, and tool-using agents.
- Maintain and optimize data pipelines and model training integrations into the web extension.
- Collaborate with cross-functional teams of engineers, PMs, and designers.
- Act as an AI pioneer by integrating GenAI tools into engineering workflows.
Requirements
- Master/Engineer degree in ML/AI or Computer Science.
- 4+ years of professional experience in a product-led company.
- 2+ years of experience in R&D with practical ML applications.
- Proficiency in Python, ML frameworks (Scikit-learn, XGBoost), and deep learning frameworks (PyTorch, Hugging Face).
- Fluent in English.
- Must be based in Paris, France for a hybrid work model.
Nice to have
- Experience integrating foundation models, LLM-powered features, RAG, or AI agents into production.
- Knowledge of JavaScript, Web technologies, and embedding ML in web applications.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Interest in data privacy and online security.
Culture & Benefits
- Hybrid culture combining in-person collaboration (Mon, Tue, Thu) with flexible remote days.
- Well-being days (4 extra days per year) and mental health services through Spring Health.
- Equal Parental leave (up to 20 weeks fully paid).
- Internal mentorship program to support professional growth.
- Flexible working hours and company-sponsored office lunches.
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