Data Scientist

Job description

Summary Posted: Sep 22, 2021 Role Number: 200291282 Our team uses Computer Vision and Machine Learning to enable features on Apple products like face tracking for Animoji, Portrait Mode, and FaceTime Eye Contact. In the context of Machine Learning we need to collect large amounts of data, push it reliably through data processing pipelines, add manual annotations, let large clouds crunch on it, continuously verify and report the accuracy of the resulting algorithms, and finally transfer trained models to products. We are looking for a Data Scientist with passion for good software craftsmanship or a great Software Engineer who loves data and knows how to visualize it. We need you to shape the future of internal tooling that is used by world-class machine learning and computer vision experts to quickly understand on which data their algorithms work well - and where they still have to improve to achieve the high standards Apple requires to make it into its products.

You will be working in a diverse, fast moving team based in Zürich and will interact regularly with teams based in Cupertino, USA. Key Qualifications Ability to visualize data and design dashboards to convey information clearly Proficient in Python and JavaScript/TypeScript Experience with and interest in visualising high-volume data (such as Plotly, Dash, Matplotlib, Google Charts, Flot, D3.js) Experience in using self-serving BI like Tableau or Qlik is a plus Full-stack experience with web frameworks, preferably Django or Flask apps with React, is a strong plus Experience in automating end-to-end tests of web user-interfaces is a strong plus Experience with running and optimizing analytical queries on relational databases is a plus Knowledge of macOS/iOS and Linux environments is a plus Working Knowledge of Machine Learning and Computer Vision is a plus Description You will be working on web-based tools and reporting to support the development of the next generation video and image analysis projects in our computer vision research. Our work is focused on real time performance and finds its way into the whole range of future apple products. We value the right attitude to serving our internal customers over extensive experience with technology.

Education & Experience Bachelor / Master / PhD in Data Science, Computer Science, Machine Learning, Statistics, Computer Vision, Business Information Systems or equivalent work experience If this is you, we'd love to hear from you. Additional Requirements

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