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Machine Learning Engineer at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, Object Detection, Vision Transformers, Multimodal Networks, Biometrics, Face Tracking, Gaze Tracking, Image Processing, Computer Vision, Cloud Technologies, Creativity, Collaboration

Industry

Computers and Electronics Manufacturing

Description

If you are the kind of person who is 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. DESCRIPTION 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. 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.

Responsibilities

The role involves working on real-time video streams to develop higher-level reasoning algorithms. You will contribute to the development of biometric features and computer vision algorithms for Apple products.