Research Engineer in Data

📋 Description Own the data lifecycle for researchers—from sourcing to processing and dataset delivery. Build a world-class data lake with model training teams. Extract features and annotations to improve dataset quality and model performance. Influence data infrastructure and long-term strategy with the team. 🎯 Requirements Data-centric, applied ML background; improves model via data quality, labeling, and evaluation. Experience with the data layer of Generative AI products (images, video, or audio). Excellent Python skills; clean, maintainable, well-tested code. Nice to have: experience designing and operating workflow orchestration systems and large-scale pipelines. 🎁 Benefits Competitive compensation (salary + stock options + bonus). Hybrid work with offices in London, Amsterdam, Zurich, Munich, or remote in Europe. 25 days of annual leave + public holidays. Great culture with planning and social events at hubs. + other benefits depending on location.