← All roles

Machine Learning Engineer

Proton· CC - Mail Delivery and Spam
Apply on company site
Hybrid (Geneva, Taipei)unknownPosted 7mo ago

About the role

Role within Proton's MSA team focused on designing and deploying scalable ML systems for anti-abuse, security, and account protection. Emphasis on agentic AI, real-time and asynchronous decisioning, and collaboration with security and engineering teams.

Responsibilities

  • Design and deploy scalable ML systems using modern MLOps practices, including real-time inference, model monitoring, and automated retraining pipelines.
  • Architect agentic AI systems capable of autonomous threat detection, adaptive policy enforcement, and self-healing security responses.
  • Build tools for model development, debugging, and explainability to accelerate iteration and transparency.
  • Optimize ML workflows for distributed environments to handle large-scale data processing.
  • Collaborate cross-functionally with security analysts, backend/frontend engineers, and customer support to align technical solutions with user needs.
  • Advance the state of ML for anti abuse and account security, exploring cutting-edge techniques like adversarial robustness, graph-based anomaly detection, and privacy-preserving AI.

Qualifications

  • Degree in Computer Science or a related quantitative field, with 2+ years hands-on experience in building and running ML systems.
  • Production-level ML expertise: You’ve shipped models that handle real-world scale and complexity.
  • Hands-on experience with LLMs in agentic environments.
  • Strong software engineering skills: Proficiency in Python, with a solid understanding of backend and server fundamentals.
  • Statistical rigor: Deep understanding of probability, hypothesis testing, and experimental design.

Skills

Required:ML system designAgentic AIPythonLLMs
Nice to have:Adversarial robustness

Benefits

  • Work that Matters: millions rely on Proton’s privacy-first products.
  • A great Team: diverse, collaborative environment with top academic backgrounds.
  • Technology: access to appropriate hardware and software.
  • Learning & Development: growth opportunities and hands-on challenges from day one.
  • Employee Benefits: health coverage, retirement options, leave, wellness support.
  • Stock Options: ownership from day one.
  • In-Person Collaboration: offices in multiple cities with face-to-face collaboration.
  • Food: lunch and snacks provided in offices.
  • Transport: coverage for public transport, bike allowances, or parking.
  • Flexible Working: outcome-focused scheduling.
Last updated Jul 9, 2026. Interested? Apply on the company site.

About Proton

Privacy by default

Proton was started in 2014 by scientists who met at CERN and shared a vision of an internet that defends freedom and puts people first.

EmailCalendarVPNDriveDocsSheetsPhotosPassword manager
Company profileWebsite

More open roles at Proton