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Join Proton and help build a better internet where privacy is the default. Proton is dedicated to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online. Our tools empower individuals and organizations to take control of their personal data and defeat censorship. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

Tasks

  • 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.
  • 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 the security engineering team to ensure scalable and secure data handling (e.g., parsing, processing, storage).
  • 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.
  • 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.
  • Deploy models into production securely and responsibly, ensuring reliability and scalability.
  • Implement monitoring, alerting, and retraining mechanisms for deployed ML models.
  • Document methodologies and performance metrics for auditability and knowledge sharing.

Requirements

  • Proven experience in machine learning engineering or data science, ideally in a cybersecurity or operations context.
  • Proficiency in Python, with strong knowledge of ML frameworks.
  • Experience with data manipulation and analysis using Pandas, NumPy or similar tools.
  • Familiarity with security data sources (e.g., SIEM logs, EDR telemetry, network flow, authentication logs).
  • Solid understanding of ML lifecycle: data preparation, model training, evaluation, deployment, and monitoring.
  • Experience with data pipelines and storage technologies (e.g., Airflow, Kafka, Redis, Elasticsearch, Clickhouse, etc.).
  • Ability to work independently and collaborate effectively with both ML and security specialists.
  • Prior experience in threat detection, SOC operations, or security automation (preferred).
  • Knowledge of adversarial ML, graph analytics, or behavioral modeling in security contexts (preferred).
  • Experience integrating ML models into SIEM pipelines or automated detection frameworks (preferred).
  • Exposure to LLMs and AI engineering (e.g., prompt engineering, RAG, agent design), and awareness of LLM-specific risks like prompt injection and data leakage (preferred).

Benefits

  • Work that matters: millions of people trust Proton with their privacy.
  • Technology: you'll get the right hardware and software you need to do your best work.
  • Learning & Development: Proton invests in your growth and offers real challenges with real ownership from day one.
  • Employee Benefits: 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 across Geneva, Zürich, Barcelona, London and more, with face-to-face teamwork.
  • Food: lunch and snacks provided every day in offices.
  • Transport: public transport, bike allowances, or parking covered.
  • Flexible working: set hours that work for you and your team.
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Über uns
Proton AG ist ein Schweizer Technologieunternehmen mit Fokus auf Datenschutz, digitale Privatsphäre und verschlüsselte Online-Dienste. Das Unternehmen entwickelt und betreibt Produkte wie Proton Mail, Proton VPN, Proton Calendar, Proton Drive und Proton Pass für Privatpersonen, Unternehmen und Organisationen. Proton stellt sichere Kommunikations-, Speicher-, Identitäts- und Internetdienste bereit und verbindet Softwareentwicklung, Sicherheitsarchitektur, Verschlüsselung, Infrastruktur, Nutzerplattformen und digitale Privatsphäre innerhalb eines international tätigen Schweizer Unternehmens.
Das Team

The engineer will sit directly within the security team, ensuring solutions are operationally relevant and aligned with security priorities, while also working closely with the internal Machine Learning team (MSA) to leverage their expertise and best practices.

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