Summary
Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! The Video Computer Vision org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We balance research and product to deliver Apple quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life.

Key Qualifications
Extensive knowledge in deep learning and computer vision techniques
Strong fundamentals in 3D geometry and geometric computer vision
Solid C++ and Python skills
Understanding of deep learning frameworks and workflow
Experience in working with large data sets and improving infrastructure pipelines
Creativity and curiosity for solving highly complex problems
Excellent communication and collaboration skills
* Great to have: knowledge and experience in temporal reasoning and representation

Description
We work on complex problems in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences and hardware that will be used by millions.

Education & Experience
MS in Computer Science, Electrical Engineering, Robotics, Physics, Applied Mathematics or related fields, with 5 years industry experience or a PhD degree with equivalent industry experience.

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