Summary
Do you have a passion for computer vision and deep learning? The Video Engineering Data Analytics and Quality (DAQ) group is looking for a data scientist with a strong ability to identify and communicate patterns in data and model behavior. In this role, you will collaborate with multiple teams (machine learning, quality assurance, cloud infrastructure support, user studies) to improve algorithm quality and guide feature development with a data driven approach in order to deliver amazing computer vision experiences.



Description
Video Engineering DAQ team is seeking a self-motivated, detail-oriented data scientist to research and develop evaluation methods to drive the continuous improvement for Apple's wide variety of computer vision projects. You will gain a deep understanding of various Apple algorithms and be tasked with performing deep-dive failure analysis on data from telemetry (on-device logging data) to large scale user studies to find potential root causes of unexpected algorithm performance, and you will routinely present your results to leadership and cross-functional teams. Moreover, a strong coding background will be required as you will also be tasked with developing and maintaining automation pipelines to analyze and visualize data.

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