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.

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 Apple’s consumer devices. Besides 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 an outstanding team where your skills and expertise can be used to influence future user experiences and hardware that will be used by millions.

MINIMUM QUALIFICATIONS

• Background in machine learning and deep learning.
• Proficiency in Python programming.
• Experience using ML frameworks such as TensorFlow and PyTorch.
• BS and a minimum of 3 years of industry experience.

PREFERRED QUALIFICATIONS

• Hands-on experience in areas like biometrics, object detection, landmark detection, and semantic segmentation.
• Theoretical and practical understanding of modern deep learning techniques such as vision transformers, encoder-decoder architectures and multi-modality.
• Solid mathematical foundation in linear algebra and probability theory.
• Understanding of classical image processing and 3D computer vision fundamentals.
• Familiarity with distributed computing.
• Excellent communication and collaboration skills.
• Creativity and curiosity for solving highly complex problems.
• MS or PhD in related field.

Please refer the Job description for details