Computer Vision Engineer

The 3D Vision team at Apple Maps is looking for extraordinary talent to join our team of computer vision and machine learning experts. With us, you will be working on cutting-edge technology as well as researching and developing new machine learning algorithms for processing and making sense of vast volumes of sensor data! As part of this team you would be working on extremely large data sets of different modalities, collected by various moving platforms - aerial/satellite/ground. You need to have a strong interest in solving real world problems where developing and implementing algorithms are important parts. You would join a team of fast paced and pragmatic problem solvers that are solving some of the toughest problems in the industry!

Description

The ideal candidate should be an excellent programmer and also excel in one or more of the following areas: 3D computer vision, computational geometry, computer graphics, Visual-Inertial Odometry, Bundle Adjustment. Meriting experience include: General Deep Learning, Visual Object Detection and Recognition, Semantic Segmentation.

Minimum Qualifications

Proven fundamentals in 3D Computer Vision Solid C/C++ and system building skills Ability to communicate the results of analyses in a clear and effective manner PhD or Master of Science degree in Computer Science, Mathematics or similar, alternatively a comparable industry career with a consistent track record of successful projects.

Preferred Qualifications

A proven track record of impactful research, with publications in top-tier conferences such as CVPR, ICCV, ECCV, or NeurIPS. Demonstrated engagement with the open-source community through contributions to established projects or by authoring popular repositories. Experience with machine learning is highly desirable.

Eeo Content

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.