Machine Learning Engineer

Proton seeks a Mid-level Machine Learning Engineer in Geneva to build agentic AI and MLOps systems for its MSA team, focusing on real-time threat detection and account security.

This position sits within the Mail Delivery, Spam, and Anti-Abuse (MSA) team at Proton. The group addresses intricate security issues across the entire Proton ecosystem by creating systems that merge human expertise with machine learning to process tens of millions of decisions every day. The team is currently expanding its capabilities by integrating agentic AI to support autonomous threat detection and response mechanisms.

Responsibilities

• Create and maintain scalable machine learning infrastructure using contemporary MLOps standards, covering real-time inference, continuous model monitoring, and automated retraining workflows.
• Design agentic AI architectures that can independently detect threats, enforce policies adaptively, and execute self-healing security actions.
• Develop internal tools that assist in model development, debugging, and explainability to improve iteration speed and system transparency.
• Refine machine learning workflows for distributed settings to efficiently manage large-scale data processing tasks.
• Partner with security analysts, backend and frontend engineers, and customer support teams to ensure technical solutions meet user requirements.
• Push the boundaries of machine learning in anti-abuse and account security by investigating advanced methods such as adversarial robustness, graph-based anomaly detection, and privacy-preserving AI.

Requirements

• A university degree in Computer Science or a closely related quantitative discipline.
• At least two years of practical experience in constructing and operating machine learning systems.
• Proven track record of deploying production-grade models that handle real-world scale and complexity.
• Practical experience working with Large Language Models (LLMs) within agentic frameworks.
• Strong software engineering capabilities with a high level of proficiency in Python.
• A solid grasp of backend architecture and server fundamentals.
• Comprehensive knowledge of probability theory, hypothesis testing, and experimental design.

What the company offers

• The chance to safeguard millions of users around the world.
• Engagement with pioneering technological challenges, including agentic AI, real-time threat detection, and privacy-preserving machine learning.
• Collaboration with a worldwide group of specialists in security, machine learning, and systems engineering.
• Opportunities to lead projects, mentor colleagues, and gain experience across a varied technology stack.
• The ability to contribute to a privacy-first internet where individuals maintain control over their personal data.

About the company

Proton operates as a mission-driven organization dedicated to establishing a privacy-first internet where users retain full control over their data. The company fosters a collaborative culture, bringing together a global team of experts to work on complex security and engineering challenges.

• Mission-driven focus on user data control and privacy.
• Collaborative environment with a global team of experts.