O pozici
Join Proton and build a better internet where privacy is the default
At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.
Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.
Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.
Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.
We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politi
Co budeš dělat
- ML-Driven Detection & Automation
Design, develop, and deploy machine learning models to enhance security detection, anomaly identification, and incident response.
- Integrate ML outputs into the SOC workflow to enable smarter and faster triage.
- Continuously evaluate and tune models to reduce false positives and improve detection precision.
- Ensure model outputs are interpretable and actionable for SOC analysts.
- Data Engineering for Security
Build and maintain data pipelines to collect, process, and transform security-relevant data (e.g., logs, network traffic, endpoint events) into ML-ready datasets.
- Collaborate with security engineering team to ensure scalable and secure data handling (eg. parsing, processing, storage).
- AI Engineering & LLM-Powered Automation
Explore and build LLM-powered tools to automate repetitive SOC tasks (e.g., alert triage, evidence gathering, incident summarisation, report generation).
- Apply appropriate guardrails and evaluation to ensure outputs are accurate, auditable, and safe to act on in operational contexts.
- Research & Innovation
Stay current on advancements in security data science, adversarial ML, and automated threat detection.
- Prototype and test new ML and AI techniques (e.g., unsupervised anomaly detection, graph-based threat correlation).
- Contribute to improving detection content through statistical analysis and clustering.
- Operations & Maintenance
Deploy models into production securely and responsibly, ensuring reliabil
