Role overview
The Imaging and Sensing group at Apple develops algorithms for scene understanding and depth sensing using active (e.g Lidar and True Depth cameras) and passive (e.g Monocular and Stereo RGB cameras) sensors for enabling features for Photography, AR, and more. This multi-disciplinary group of engineers is responsible for research, architecture, design, and development of future Apple products and technologies. The Imaging and Sensing group is looking for an extraordinary data engineer, computer vision, and machine learning engineer to drive state-of-the-art technologies for Apple products. As part of the team, you would work in an interdisciplinary team, that combines expertise in image processing, computer vision, deep learning, and software engineering. Our close-knit team fosters an environment of product innovation, rapid product iteration, and collaboration at both team and multi-functional levels with a liberating amount of autonomy. We are looking for a Data Engineer with experience with large data processing, classic computer vision algorithms, and deep learning. In this role, you will be responsible to develop robust data pipelines from raw data (synthetic or real world) to encapsulated ready-for-training datasets. This includes smart filtering, data creation, and enrichment by running different Computer Vision algorithms on the data, train-validation splitting, dealing with 3D geometry and multi-cameras calibration metadata, and testing the data with training pipelines. As a member of a fast-paced team, you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every day.
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