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Machine Learning Video Processing Engineer
Machine Learning Video Processing EngineerApple Inc. • Cupertino, CA, United States
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Machine Learning Video Processing Engineer

Machine Learning Video Processing Engineer

Apple Inc. • Cupertino, CA, United States
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Machine Learning Video Processing Engineer

Cupertino, California, United States Hardware

Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple, you will have the opportunity to work on products that are always leaders in the industry and occasionally change the world! Our group at Apple is responsible for creating the image / video core technologies used in almost all Apple products and services. We are looking for a highly self‑motivated and enthusiastic engineer who is able to excel in a technically challenging environment to fill the position of machine learning video processing engineer.

Description

In this role you will work with Apple engineers in a dynamic team developing machine learning based image / video processing technologies for current and future Apple products. This position requires a highly self‑directed engineer with strong creative and analytic skills and passion for video processing and compression technologies.

Responsibilities

  • Develop, implement, and optimize machine learning based video processing algorithms that work well in the resource‑constrained environments.
  • Work on data collection and pre‑processing for training / testing / validation.
  • Investigate the latest learning‑based low‑level vision technologies and tasks.

Minimum Qualifications

  • BS and a minimum of 3 years relevant industry experience.
  • Familiar with signal processing, machine learning, CPU architecture, and operating system.
  • Python, Java, or C / C++ programming skills.
  • Preferred Qualifications

  • PhD in Computer Science, Electrical Engineering, or related major.
  • Experience with performance (power and speed) optimization : GPGPU SIMD programming.
  • Knowledge of deploying neural networks to hardware.
  • Experience with multithread NEON / SIMD.
  • Experience with GPU APIs preferably Metal, CUDA, OpenGL, and / or OpenCL.
  • Excellent written and oral communication skills.
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including : comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

    Note : Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

    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. Learn more about your EEO rights as an applicant.

    Apple accepts applications to this posting on an ongoing basis.

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