Machine Learning Engineer

Overview

A better internet, where privacy is the default, is possible. Building this better internet might seem daunting or even unthinkable, but at Proton, this is what we do every day.

Proton was founded in 2014 by a group of scientists who met at the European Organization for Nuclear Research (CERN). Our first product, Proton Mail, is now the world’s largest encrypted email service. Subsequent Proton products, such as Proton VPN, Proton Calendar, Proton Drive and Proton Pass give our users full control over how and with whom their data is shared.

Today, Proton makes privacy universally accessible. Journalists from outlets like The Guardian and The New York Times, some of the world’s largest organizations, and people in more than 180 countries have signed up for over 100 million accounts. Our diverse and dynamic team is made up of more than 400 members representing over 40 different nationalities. While we are based in Geneva, Switzerland, we have offices in Zurich, Prague, London… Vilnius, Skopje, Taipei, Paris, Barcelona and many more employees working remotely around the world.

Join one of Europe’s fastest-growing companies to help us solve challenging problems and build new products that will reach hundreds of millions of people. We want to create more than just one of the world’s most impactful tech companies; we want to create a new internet that serves the interests of all people. We need you, your voice, your ideas, and your ambition to make it happen.

Purpose of the role

The MSA team (Mail Delivery, Spam, and Anti-Abuse) is a multi-disciplinary group started in 2019 to tackle difficult problems around security that impact 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 each day. As of 2023, our areas of focus are 1) mail delivery and spam, 2) abuse and account security, and 3) site reliability of Proton. Over the past few years, our custom systems have reduced spam filter misclassifications by over 70%, blocked millions of abusive bulk signups, protected hundreds of thousands of users from account compromise by attackers, and mitigated hundreds of DDoS attacks. More recently, MSA have also delivered Proton Sentinel, a high security program that combines AI with human expertise, and we also built Proton CAPTCHA, a seemingly simple puzzle that is backed by ML algorithms to detect abuse and attacks to user accounts.

In order to move fast with limited resources, we are organized into autonomous teams responsible for the whole system, with expertise across infrastructure, data storage, backend, frontend, data analysis, machine learning, security and operational excellence. In 3 years, we grew from 2 engineers to over 30 engineers and analysts, spread across 3 continents for 24/7 coverage. We are looking for humble, mission-driven, systems-thinking people who want to make a big impact in a startup environment.

At Proton, we use machine learning in our efforts to combat abuse and spam. In order to meet the demands of scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing, tying together numerous data sources to build models that protect our users and reputation. We are seeking an ML Engineer to join our team and help advance our detection capabilities.

What you will do
• Develop and deploy highly scalable classifiers and tools leveraging machine learning, regression, and rule-based models;
• Create tools to help in model building, debugging, and explanation;
• Ensure the above models meet expected performance levels;
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters);
• Suggest, collect and synthesize requirements and create effective roadmaps;
• Consistently advance the state of ML for your problem area;
• Communicate effectively with stakeholders, engage with other engineers, analysts, and customer support.

Job requirements
• Degree in Computer Science or related quantitative field with experience in machine learning related work or research;
• Research and/or work experience in machine learning, pattern recognition, signal processing, data mining, artificial intelligence, or information retrieval;
• Solid knowledge of statistics;
• Expert knowledge developing production level ML products;
• Strong software engineering skills;
• Expert knowledge of Python;
• Experience of demonstrating technical leadership working with teams, owning projects, and defining and setting technical direction for projects

Why should you join Proton?
• Be part of a movement – Proton is not just a product or service but a community-driven movement united by a shared vision of online freedom. Our services are open source, audited, and supported by community contributions. We give back to our community by maintaining core encryption libraries and by supporting other organizations furthering the same goals as us. Proton is free, open source, neutral, independent, and community first, while remaining financially sustainable.
• Work with smart and dedicated people – 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.
• Join a strong brand – Our encrypted email service – Proton Mail – has grown to be a staple of online security and privacy. Proton has been featured in multiple popular television and film productions, such as Mr. Robot, Knives Out, Sounds of Metal, and more.
• Grow with us – We’re one of Europe’s fastest-growing startups, doubling in size every year. Our growth gives you limitless career and educational opportunities as well as the opportunity to work side-by-side with many world-leading experts in their fields.
• Have your voice heard – We value your opinion and encourage you to speak up and share your ideas and thoughts. At Proton, no problem is someone else’s problem. We collectively strive to do the right thing and be the undisputed best in the world at everything we do.
• Benefits – these vary by location and type of contract but expect support on your vacation, parental leave, refreshment if working from the office, learning and development opportunities, equity for shared success, flexible working hours and remote work, company events and team building activities.

Proton does not accept unsolicited resumes from any sources other than directly from a candidate. Proton will not pay a fee for any placement resulting from the receipt of an unsolicited offer, even in a situation when the relevant candidate is employed by Proton

Company:

Proton

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Clustering, Data Analysis, Industry, Information Retrieval, NLP, Spain