Join Proton and help build a better internet where privacy is the default. Proton was founded in 2014 by scientists from CERN, based on the belief that privacy is a fundamental human right. Since then, Proton has developed the world's largest encrypted email service and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar, serving millions globally. The MSA team (Mail Delivery, Spam, and Anti-Abuse) is a multidisciplinary group solving complex security challenges across the Proton ecosystem, building systems that combine human intelligence and machine learning to make tens of millions of decisions daily.
Tasks
- 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 techniques like adversarial robustness, graph-based anomaly detection, and privacy-preserving AI.
Requirements
- 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: experience shipping 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.
- Bonus points for experience with adversarial ML or red-teaming ML systems.
- Bonus points for experience working on distributed systems.
- Bonus points for contributions to open-source security/privacy tools.
- Bonus points for knowledge of federated learning, differential privacy, or on-device inference.
- Bonus points for familiarity with graph-based anomaly detection or knowledge graphs.
- Bonus points for technical leadership: experience owning projects, mentoring peers, and driving technical direction.
- Bonus points for a security mindset: familiarity with abuse patterns, adversarial attacks, or threat intelligence.
Benefits
- Impact at scale: work protects millions of users globally.
- Cutting-edge tech: tackle challenges like agentic AI, real-time threat detection, and privacy-preserving ML.
- Collaborative culture: work with a global team of experts in security, ML, and systems engineering.
- Growth opportunities: lead initiatives, mentor others, and learn across a diverse technology stack.
- Mission-driven: contribute to a privacy-first internet where users control their data.
- Work that matters: millions trust Proton with their privacy; the impact is measurable.
- Diverse, collaborative, and tight-knit team from top academic institutions and organizations.
- Technology: receive the right hardware and software to do your best work.
- Learning & Development: investment in your growth and real ownership from day one.
- Strong health coverage, solid retirement options, generous leave, and wellness support.
- Stock options: opportunity to be an owner of the company from day one.
- In-person collaboration: offices in Geneva, Zürich, Barcelona, London, and more; collaborate face-to-face.
- Food: lunch and snacks provided daily in offices.
- Transport: coverage for public transport, bike allowances, or parking.
- Flexible working: set hours that work for you and your team.
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Über uns
Das Team
The MSA team is a multidisciplinary group focused on mail delivery, spam prevention, abuse detection, account security, and site reliability. The team has grown from 2 to over 40 engineers and analysts across 3 continents, operating 24/7, and collaborates with experts in security, ML, and systems engineering.