ML Video Processing Algorithm Engineer



Software Engineering, Data Science
Cupertino, CA, USA
Posted on Friday, May 10, 2024


Role Number:200550509
In this role you will work as an individual contributor with collaborative colleagues in a fast-paced environment, developing ML-based video processing algorithms for current and future Apple products! This position requires a highly self-directed individual with strong creative and analytic skills and passion for applying deep learning technologies in video processing and low level vision tasks.


Your responsibilities include, but not limited to: 1. working with our own team as well other teams on developing a DL idea for a video processing problem, building training dataset, training the DL model, prototyping and demonstrating to the leadership and teams at Apple. 2. working with x-functional teams on implementing an ML model on iOS/macOS platforms, with DL model simplification and retraining, model porting, code integration, performance acceleration, power tuning, quality tuning, etc..

Minimum Qualifications

Key Qualifications

  • Excellent problem solving skills
  • Expert knowledge of the principles, algorithms, and tools in deep learning and generative AI, including models, training strategies, training dataset building, cost functions, quality metrics, etc.
  • Expert knowledge of the principles, algorithms, and techniques in video/ image processing, and low-level computer vision, such as spatial scaling, optical flow estimation, frame rate up conversion, noise reduction, color processing, etc
  • Excellent written and oral communication skills.
  • Programming skills using common ML tools such as Python, PyTorch, CUDA Metal, and C/C++

Preferred Qualifications

Education & Experience

BS and a minimum of 3 years relevant industry experience

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Learn more about your EEO rights as an applicant.