<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>Join the mission to make communications trustworthy in the age of AI</p><p><br/></p><p><strong>About Us:</strong></p><p><br/></p><p>Aurigin.ai is a Zurich-born startup on a mission to restore trust in digital communication by protecting high-stakes organizations from AI-generated voice fraud in real-time. Banks, government agencies, and enterprises use our deepfake detection to stop account takeovers, CEO impersonations, and fake news before they cause damage.</p><p><br/></p><p>We're a team of passionate innovators from top-tier tech and consulting firms as well as startups. We thrive on collaboration, embrace a "move fast to launch and iterate" mentality, and are united by a shared vision of a safer, more transparent world in the age of AI.</p><p><br/></p><p><strong>Why we need you:</strong></p><p><br/></p><p>Our real-time deepfake detection engine is trusted by high-stakes clients, and high-quality, diverse data is the asset that keeps it ahead of emerging fraud. We need a Data Engineer to own the audio data lifecycle end to end: sourcing, ingesting, structuring, and managing terabytes of noisy, real-world audio so our ML team can focus on modeling. The role has a clear data engineering core, with room to grow into the acoustic side (applying augmentations like impulse responses and environmental noise) as you build expertise.</p><p><br/></p><p><strong>What you will do:</strong></p><p><br/></p><ul><li><em>Architect at scale:</em> Design and maintain robust ETL pipelines and storage architectures for hundreds of TBs of audio data.</li><li><em>Wrangle and validate:</em> Clean, format, and structure raw audio for downstream use, and use statistics and acoustic checks to catch anomalies and validate dataset quality before it hits training.</li><li><em>Own provenance, labeling, and licensing:</em> Track where every sample came from, under what license, and with what labels. This is core to our model quality.</li><li><em>Explore audio augmentation:</em> Partner with the team to source, synthesize, and enrich datasets with realistic augmentations (room acoustics, impulse responses, background noise).</li></ul><p><br/></p><p><strong>About you:</strong></p><p><br/></p><ul><li><em>Experience:</em> 2+ years building and managing large-scale data pipelines and databases.</li><li><em>Tech stack:</em> Strong Python and SQL.</li><li><em>Cloud and orchestration:</em> Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure) and at least one orchestration tool (Airflow, Prefect, Dagster, or similar). We're not dogmatic about which. Knowledge transfers.</li><li><em>Statistical foundation:</em> Solid grasp of basic statistics for measuring data quality.</li><li><em>Audio fluency:</em> Comfortable working with audio data in Python (e.g. torchaudio) and familiar with the basics: sample rates, channels, common formats, SNR.</li><li><em>Ownership mindset:</em> Self-driven, loves solving complex problems, and can run end-to-end projects in a fast-paced startup.</li><li><em>Be a good human:</em> Contribute to a positive and fun team environment.</li><li><em>Languages: </em>Fluent in English. Any other language is a plus.</li></ul><p><br/></p><p><strong>Nice-to-have:</strong></p><p><br/></p><ul><li>Hands-on experience with audio augmentation libraries (audiomentations, pyroomacoustics, WavAugment) or working with RIR and noise datasets.</li><li>Solid acoustic principles: impulse responses, reverberation, room acoustics, psychoacoustics.</li><li>Prior experience working closely with ML or AI teams.</li></ul><p><br/></p><p><strong>Benefits:</strong></p><p><br/></p><ul><li><em>Make a real impact:</em> Join a company working with cutting-edge AI technologies and fighting the good fight.</li><li><em>Be part of something big:</em> Help protect the world from AI-generated chaos and shape our product/culture from the start.</li><li><em>Work with cool people:</em> Our team is smart, passionate, and driven.</li><li><em>Flexibility:</em> Work from wherever you're most productive and collaborative (2 days/week minimum in Zurich office).</li><li><em>Salary and equity:</em> Meaningful ownership stake in the company. CHF ~80k salary + ~CHF 20k in stock options.</li></ul><p><br/></p><p><strong>If you're ready to use your skills for good and want to be part of a team from the start that's making a real difference, we want to hear from you!</strong></p> </div>