Computer Vision/Deep Learning Engineer

Apple Inc.; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Apple Inc. is seeking a Computer Vision/Deep Learning Algorithm Engineer to advance biometric ML technologies for real-time video understanding and edge devices. You will work on prototype-to-shipping solutions, contributing to Apple quality and innovative user experiences.

The role emphasizes collaboration, experimentation with real and simulated data, and ongoing learning to push the limits of biometrics and CV/ML algorithms across Apple products.

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.

Responsibilities

• Develop new computer vision/ML algorithms from prototyping to shipping.
• Collaborate with cross-functional teams to integrate CV/ML solutions into Apple products.
• Iterate on models using real-world and simulated data to improve performance.

Skills

Machine learning

Deep learning

Python

TensorFlow

PyTorch

Education

BS degree

Job description

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/Deep 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 edge 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

• Experience in object detection, vision transformers and multimodal networks.
• 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.
• Familiarity with cloud technologies is a plus.
• MS or PhD in related field.