Computer Vision/Deep Learning Engineer

Apple • Sunnyvale, CA

14h

About The Position

The Computer Vision/Deep Learning Engineer will develop computer vision and machine learning technologies for Apple’s next-generation products as part of the Video Computer Vision organization. The team focuses on understanding people in real-time video streams and developing higher-level reasoning algorithms, balancing research and development to deliver state-of-the-art experiences. Its work has supported features such as Face ID and Optic ID, along with computer vision algorithms for Apple Vision Pro, iPhone, and iPad.

The role involves innovating and delivering effective, efficient, and well-tested computer vision solutions, from prototyping through shipping. Solutions are often deployed on edge devices and may be developed using real-world and simulated data. The engineer will collaborate with a team to advance biometric machine learning algorithms and help shape future user experiences and hardware. The ideal candidate is self-motivated, curious, takes initiative, and is committed to continually improving their skills and work.

Requirements

• Background in machine learning and deep learning.
• Proficiency in Python programming.
• Experience using machine learning frameworks such as TensorFlow and PyTorch.
• A bachelor’s degree and a minimum of 3 years of industry experience.
• Experience in object detection, vision transformers, and multimodal networks.
• Excellent communication and collaboration skills.
• Creativity and curiosity in solving highly complex problems.
• Experience in biometrics, face tracking, gaze tracking, classical image processing, or computer vision.

Nice To Haves

• Familiarity with cloud technologies.
• A master’s or PhD in a related field.

Responsibilities

• Develop computer vision and machine learning technologies for Apple’s next-generation products.
• Innovate and deliver effective, efficient, and well-tested computer vision solutions from prototyping through shipping.
• Work on biometric machine learning algorithms using real-world and simulated data.
• Collaborate with the team to influence future user experiences and hardware.

What This Job Offers

• Job Type: Full-time