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Machine Learning Engineer
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Proton·Geneva; Taipei·26 мар.

Machine Learning Engineer

🏢 ОфисMiddleПолная занятость
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Наша компания

Join Proton and build a better internet where privacy is the default Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

О роли

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly b

Чем предстоит заниматься

The MSA team (Mail Delivery, Spam, and Anti-Abuse) is a multidisciplinary group founded in 2019 to solve complex security challenges across the Proton ecosystem. We build sophisticated systems from scratch that combine human intelligence and machine learning to make tens of millions of real-time or asynchronous decisions daily. Our focus areas include
Mail delivery and spam prevention
Abuse detection
Account security
Site reliability and resilience
Design and deploy scalable ML systems using modern MLOps practices, including real-time inference, model monitoring, and automated retraining pipelines
Architect agentic AI systems capable of autonomous threat detection, adaptive policy enforcement, and self-healing security responses
Build tools for model development, debugging, and explainability to accelerate iteration and transparency
Optimize ML workflows for distributed environments to handle large-scale data processing
Collaborate cross-functionally with security analysts, backend/frontend engineers, and customer support to align technical solutions with user needs
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

Наши требования

Degree in Computer Science or a related quantitative field, with 2+ years hands-on experience in building and running ML systems
Production-level ML expertise: You’ve shipped models that handle real-world scale and complexity
Hands-on experience with LLMs in agentic environments
Strong software engineering skills: Proficiency in Python, with a solid understanding of backend and server fundamentals
Statistical rigor: Deep understanding of probability, hypothesis testing, and experimental design
Experience with adversarial ML or red-teaming ML systems
Experience working on distributed systems
Contributions to open-source security/privacy tools
Knowledge of federated learning, differential privacy, or on-device inference
Familiarity with graph-based anomaly detection or knowledge graphs
Technical leadership: Experience owning projects, mentoring peers, and driving technical direction
Security mindset: Familiarity with abuse patterns, adversarial attacks, or threat intelligence (bonus points!)

Мы предлагаем

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)
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
Technology: you'll get the right hardware and the right software you need to do your best work
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
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
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
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
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
Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you
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
Our Commitment to Diversity and Inclusion
If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know
Candidate Privacy Notice
If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers .ch
Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton
Impact at scale: Your work will protect millions of users globally
Cutting-edge tech: Tackle challenges like agentic AI, real-time threat detection, and privacy-preserving ML
Collaborative culture: Work with a global team of experts in security, ML, and systems engineering
Growth opportunities: Lead initiatives, mentor other, and learn across a diverse technology stack
Mission-driven: Contribute to a privacy-first internet where users control their data

Дополнительно

Reduced spam filter misclassifications by over 70%
Blocked millions of abusive bulk signups
Protected hundreds of thousands of users from account compromises
Mitigated hundreds of DDoS attacks
Recently, we’ve expanded our impact with Proton Sentinel (an AI-human hybrid security program) and Proton CAPTCHA (our own puzzle system to detect and prevent abuse). We’re now scaling our capabilities with agentic AI to enable autonomous threat detection and response
In 5 years, we’ve grown from 2 engineers to 40+ engineers and analysts across 3 continents, operating 24/7. We’re looking for curious, collaborative, and impact-driven engineers who thrive in a startup environment and want to shape the future of secure AI
P
Proton
Geneva; Taipei

ГрейдMiddle
ЗанятостьПолная занятость
РегионНе Россия
ФорматОфис
ИсточникСкрыто
Опубликовано26 мар.
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