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Senior Machine Learning Engineer (Proton Pass)

Detalles de la oferta

Join Proton and build a better internet where privacy is the default At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech's invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information.

Purpose of the role What you will do Model Design: figuring out the best models (k-NN, SVM, MLP, ...) appropriate to the various detection tasks inside the DOM, keeping in mind speed as an absolute priority due to the interactive nature of the Pass extension. Feature engineering: transposing HTML attributes, DOM relationships into vectors or other intermediate representations. Model Evaluation: deciding on relevant metrics to reliably track efficacy, establishing binary classification matrices, ROC/PR curves, and reducing experimental noise with statistical validation like cross-val/bootstrapping. ML Ops: ensuring continuous delivery of new models and streamlining the process to get new models in production with little delay. Job requirements Bachelor's degree or higher in Computer Science, Statistics, or a related field. Strong grasp of ML techniques like classification, regression, and outlier detection. Experience or familiarity with the DOM API is a big plus. Experience with modern ML frameworks (like PyTorch, TensorFlow, or Jax). Who You Are You can explain technical stuff in a way that anyone can understand. People love working with you. You're endlessly curious and love figuring out how systems and models work under the hood. You focus on the customer, whether they're external users or your teammates. You know that writing code is just the beginning—you also enjoy seeing it run in production, looking at metrics, and planning improvements. Join us to be a part of a team that values innovation, quality, and a forward-thinking approach to technology, especially in the realm of machine learning and user security. Apply now and help us enhance our password manager with cutting-edge ML models.

What We Offer Office First: Collaboration is easier and more effective in person, which is why we have offices in various cities. You can also enjoy working from home up to 30% of the time. Technology: We provide all the devices and software you need to excel in your role. Food: Lunch and snacks are provided by Proton every day at our offices. Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces. Stock Options: At Proton, we are all owners of the company and you get stock options when you join us. Flexible Working: You can define your own working hours as long as it works with team meetings. Learning and Development: We are committed to your professional growth with various learning opportunities. Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs. Work that Matters: Proton is a community-first organization, built with community input. Our Commitment to Diversity and Inclusion At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals feel valued and empowered.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

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Fuente: Jobleads

Requisitos

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