Video Machine Learning Engineer

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Join Apple as a Video Machine Learning Engineer

Posted: May 1, 2024
Role Number: 200549501

At Apple, we turn new insights into extraordinary products, services, and customer experiences rapidly. We are on the lookout for passionate and dedicated professionals to help craft the future of video technology. Join a team that's at the forefront of developing cutting-edge machine learning technologies for an array of Apple's innovative products, including Photos, Camera, Spotlight, FaceTime, AirPlay, SideCar, and TV+.

Key Qualifications:

  • Deep understanding of neural networks with strong expertise in designing and optimizing networks.
  • Over 5 years of experience in image and video processing.
  • Strong programming, debugging, and problem-solving skills.

Role Description:

As a Video Machine Learning Algorithm Engineer, you will be pivotal in developing and deploying machine learning technologies. Your responsibilities will include crafting new algorithms, enhancing existing ones, designing neural network architectures, and integrating and optimizing these solutions into our products.

Education & Experience:

Preferred candidates will have an MS in Computer Science, Electrical Engineering, or a related field.

This job posting is not tied to a specific opening. By submitting your resume, you express interest in being considered for future opportunities as a Video Machine Learning Engineer at Apple.

Apple is an equal opportunity employer committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

About Apple:

At Apple, our mission is to create products that enrich people's daily lives and help them reach new heights of innovation. We believe in nurturing talent and fostering an environment where creativity can flourish.

Ready to be part of the future? Apply now and revolutionize the way the world interacts with video technology.