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Senior Machine Learning Engineer (SOC)

Proton· CC - Security
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Hybrid (Paris or Geneva)€46k - €74kfull-timePosted 5mo ago

About the role

Senior Machine Learning Engineer within Proton's Security Operations Center (SOC) to transform from reactive to proactive detection and response using ML/AI, with potential LLM-powered automation, in Paris or Geneva.

Responsibilities

  • 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 into ML-ready datasets.
  • Collaborate with security engineering to ensure scalable and secure data handling.
  • Explore and build LLM-powered tools to automate repetitive SOC tasks (e.g., alert triage, evidence gathering, incident summarisation, report generation).
  • Apply 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/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.

Qualifications

  • 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.
  • Proton is an office-first company; in-person collaboration is valued.

Skills

Required:Machine learning engineeringPythonData manipulation (Pandas, NumPy)Security data sourcesML lifecycleData pipelines/storageIndependent collaboration

Benefits

  • Work that Matters: impact-oriented role focused on privacy.
  • Technology: generous hardware and software tooling.
  • Learning & Development: growth-focused with real ownership from day one.
  • Employee Benefits: health coverage, retirement options, generous leave, wellness support.
  • Stock Options: ownership from day one.
  • Food: lunch and snacks in offices.
  • Transport: coverage for public transport, bike allowances, or parking.
  • Flexible Working: schedule-owned, outcomes-focused.
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Proton

Privacy by default

Proton was started in 2014 by scientists who met at CERN and shared a vision of an internet that defends freedom and puts people first.

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