Computer Vision/Machine Learning Engineer

Summary
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.

We're looking for highly self-motivated and enthusiastic individual with expertise in machine learning and computer vision to join our team to develop new technologies for Apple's next generation products.

Key Qualifications
Solid background in ML and deep learning with expertise in computer vision

Strong coding skills in Python or C++ and experience in modern deep learning modeling and development using ML frameworks such as Tensorflow and PyTorch

Excellent communication and collaboration skills

Creativity and curiosity for solving highly complex problems

Experience in biometrics/face tracking/gaze tracking (preferred)

Description
As a CVML engineer, you will develop new technologies for Apple's next generation products. The focus will be innovating and delivering effective, efficient and well-tested computer vision based solutions from prototyping to shipping that are often deployed on edge devices.

Beside domain expertise and technical knowledge 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
BS and a minimum of 3 years relevant industry experience

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