Computer Vision/Machine Learning Algorithm Engineer

Summary
Want to ship amazing experiences in Apple products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered biometric features such as Face ID and Optic ID as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, state-of-the-art experiences. Come shape Apple products as a driven and dedicated Computer Vision / Machine Learning Algorithm Engineer to push the limits of biometric ML algorithms with hands-on work and real world and simulated data in an innovative team and be part of building the next big thing.

Key Qualifications
Solid background in ML and deep learning with expertise in computer vision
Strong proficiency in writing clean and well-structured code preferably in Python
Experience for modern deep learning models 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, classical image processing, or computer vision is a plus
Familiarity with cloud technologies is a plus

Description
As a CV/ML 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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