Machine Learning Engineer

Join Apple's Video Computer Vision Team

If you are passionate about pursuing excellence, embracing challenges, collaborating with others, and continuously learning new things along the way, Apple is the right place for you. The ideal candidate will possess self-motivation, curiosity, and initiative to drive technical excellence and deliver impact through both research and engineering.

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.

Minimum qualifications include:

• 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 include:

• 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.