Role overview
- Mail delivery and spam prevention
- Abuse detection
- Account security
- Site reliability and resilience
- Reduced spam filter misclassifications by over 70%
- Blocked millions of abusive bulk signups
- Protected hundreds of thousands of users from account compromises
- Mitigated hundreds of DDoS attacks
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.
- 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.
- Experience with adversarial ML or red-teaming ML systems.
- Experience working on distributed systems.
- Contributions to open-source security/privacy tools.
- Knowledge of federated learning, differential privacy, or on-device inference.
- Familiarity with graph-based anomaly detection or knowledge graphs.
- Technical leadership: Experience owning projects, mentoring peers, and driving technical direction.
- Security mindset: Familiarity with abuse patterns, adversarial attacks, or threat intelligence (bonus points!).
- Impact at scale: Your work will protect 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 other, and learn across a diverse technology stack
- Mission-driven: Contribute to a privacy-first internet where users control their data.
Benefits
- Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)
- A great Team: Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world's top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.
- Technology: you'll get the right hardware and the right software you need to do your best work.
- Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.
- Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day
- Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.
- In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building
- Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.
- Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.
- Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.
Tags & focus areas
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