Machine Learning Engineer at Proton in Genève

Keywords

• Machine Learning
• Agentic AI
• MLOps
• Security
• Python
• Proton

Summary

Join Proton's MSA team in Genève to build scalable ML systems and agentic AI for security. You will design robust pipelines to protect millions of users from abuse and threats.

Job Description

Proton, founded by CERN scientists, is a profitable and independent company dedicated to building a privacy-first internet. As a Machine Learning Engineer on the MSA team, you will work with a multidisciplinary group to solve complex security challenges across the Proton ecosystem. Your work will directly contribute to protecting users from spam, abuse, and account compromises through sophisticated systems that combine human intelligence and machine learning.

Your tasks

• Design and deploy scalable ML systems using modern MLOps practices, including real-time inference and automated retraining.
• Architect agentic AI systems for autonomous threat detection and adaptive policy enforcement.
• Develop tools for model development, debugging, and explainability to ensure transparency.
• Optimize ML workflows for distributed environments to handle large-scale data processing.
• Collaborate with security analysts and engineers to align technical solutions with user needs.

Your profile

• Degree in Computer Science or a related quantitative field with at least two years of hands-on experience in ML systems.
• Production-level expertise in shipping models that handle real-world scale and complexity.
• Hands-on experience with LLMs in agentic environments.
• Strong software engineering skills in Python and a solid understanding of backend fundamentals.
• Deep understanding of probability, hypothesis testing, and experimental design.

What we offer

• Impact at scale: Your work protects millions of users globally.
• Cutting-edge technology: Tackle challenges in agentic AI and privacy-preserving ML.
• Stock options: Own a real stake in the company from day one.
• Comprehensive benefits including health coverage, retirement options, and generous leave.