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Proton

Senior Machine Learning Engineer (SOC)

Proton · Paris; Geneva

Posted about 3 months ago

or apply directly on Proton's site. We never take the application ourselves.

Is this posting real?

This role has been open
82 days
Proton's roles stay open a median of 83 days
Reposted
No
Salary listed
No
0% of Proton's roles list one
Ghost-job risk at Proton
high
69 stale, 7 reposted of 69 open
Hiring momentum
89 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-25

Measured from postings appearing on and disappearing from Proton's own greenhouse board since 2026-08-03. Full hiring picture for Proton.

About this role

As a Senior Machine Learning Engineer in the Security Operations Center (SOC) at Proton, you will focus on enhancing security detection and incident response through machine learning. Your day-to-day responsibilities will include designing and deploying ML models, building data pipelines, and exploring AI-powered automation tools. You will collaborate closely with both the security and machine learning teams to ensure that solutions are effective and aligned with security priorities.

Our read on this posting2.8out of 5
benefits
4/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Proton as an employer.

What you need

  • 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.).

Nice to have

  • Prior experience in threat detection, SOC operations, or security automation.
  • Knowledge of adversarial ML, graph analytics, or behavioral modeling in security contexts.
  • Experience integrating ML models into SIEM pipelines or automated detection frameworks.
  • 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.

What you get

  • Work that Matters: impactful work focused on user privacy and security.
  • Technology: provision of necessary hardware and software.
  • Learning & Development: investment in employee growth and career acceleration.
  • Employee Benefits: strong health coverage, retirement options, generous leave, and wellness support.
  • Stock Options: opportunity to own a stake in the company.
  • Food: daily lunch and snacks provided in the office.

Worth weighing

  • No specific mention of remote work policies beyond some flexibility; primarily office-first culture.
  • Compensation range provided only for Paris; other locations will discuss during interviews.
  • Highly selective hiring process with less than 1% acceptance rate may indicate a challenging application experience.

Summarised from Proton's posting. Read the full original.

Listed by Proton on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.

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