Machine Learning Engineer
Actively Hiring
Full-time Posted 2 months ago
Role overview
- check_circle Mail delivery and spam prevention
- check_circle Abuse detection
- check_circle Account security
- check_circle Site reliability and resilience
- check_circle Reduced spam filter misclassifications by over 70%
- check_circle Blocked millions of abusive bulk signups
- check_circle Protected hundreds of thousands of users from account compromises
- check_circle Mitigated hundreds of DDoS attacks
Responsibilities
- check_circle Design and deploy scalable ML systems using modern MLOps practices, including real-time inference, model monitoring, and automated retraining pipelines.
- check_circle Architect agentic AI systems capable of autonomous threat detection, adaptive policy enforcement, and self-healing security responses.
- check_circle Build tools for model development, debugging, and explainability to accelerate iteration and transparency.
- check_circle Optimize ML workflows for distributed environments to handle large-scale data processing.
- check_circle Collaborate cross-functionally with security analysts, backend/frontend engineers, and customer support to align technical solutions with user needs.
- check_circle 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.
- check_circle Degree in Computer Science or a related quantitative field, with 2+ years hands-on experience in building and running ML systems.
- check_circle Production-level ML expertise: You've shipped models that handle real-world scale and complexity.
- check_circle Hands-on experience with LLMs in agentic environments.
- check_circle Strong software engineering skills: Proficiency in Python, with a solid understanding of backend and server fundamentals.
- check_circle Statistical rigor: Deep understanding of probability, hypothesis testing, and experimental design.
- check_circle Experience with adversarial ML or red-teaming ML systems.
- check_circle Experience working on distributed systems.
- check_circle Contributions to open-source security/privacy tools.
- check_circle Knowledge of federated learning, differential privacy, or on-device inference.
- check_circle Familiarity with graph-based anomaly detection or knowledge graphs.
- check_circle Technical leadership: Experience owning projects, mentoring peers, and driving technical direction.
- check_circle Security mindset: Familiarity with abuse patterns, adversarial attacks, or threat intelligence (bonus points!).
- check_circle Impact at scale: Your work will protect millions of users globally.
- check_circle Cutting-edge tech: Tackle challenges like agentic AI, real-time threat detection, and privacy-preserving ML.
- check_circle Collaborative culture: Work with a global team of experts in security, ML, and systems engineering.
- check_circle Growth opportunities: Lead initiatives, mentor other, and learn across a diverse technology stack
- check_circle Mission-driven: Contribute to a privacy-first internet where users control their data.
Benefits
- check_circle 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)
- check_circle 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.
- check_circle Technology: you'll get the right hardware and the right software you need to do your best work.
- check_circle 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.
- check_circle 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
- check_circle 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.
- check_circle 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
- check_circle 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.
- check_circle Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.
- check_circle 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
Machine Learning Ai