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7 дней назад

Machine Learning Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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