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Apple hiring Machine Learning Video Process Engineer, Cupertino, California

Machine Learning Video Process Engineer

Apple

Cupertino, California
Posted today

Machine Learning Video Process EngineerImagine 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 potentially change the world! The Video Engineering team at Apple is responsible for creating the image and video core technologies used in almost all Apple products and services.

We are looking for a highly self-motivated individual to fill in the position of Machine Learning Video Processing Engineer.

We are looking for a Machine Learning Video Processing Engineer who will join us to build Apple's next-generation video processing algorithms. In this role, you will identify and develop machine learning solutions and work closely within a dynamic team to optimize and productize those features. Your responsibilities include, but not limited to:

Develop and maintain data collection, processing, and curation pipelines to support model training, validation, and testing.

Design and implement deep learning algorithms for low-level vision tasks.

Optimize models and algorithms for performance, including latency, memory, and computational efficiency.

Integrate solutions into end-to-end video processing pipelines.

Minimum qualifications include

A minimum requirement of a bachelor's degree.

  • Master's degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
  • Knowledge of the principles, algorithms, and techniques used in machine learning and video processing with first-hand experiences.

Programming skills and hands-on experience with Python and deep learning frameworks such as PyTorch.

Preferred qualifications include

PhD or Master's degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.

  • Knowledge of low-level vision algorithms such as spatial and temporal image/video scaling, noise reduction, etc.
  • Background in digital signal and image processing.

    Publication record in top-tier conferences (e.g., CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, ICLR).

  • Excellent independent problem-solving skills.
  • 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 $126,800 and $220,900, 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.

    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.

    Apple accepts applications to this posting on an ongoing basis.

    Estimated Salary

    $70
    / hour

    Apple pays $70 for Cybersecurity Analyst in Cupertino, California, with most salaries ranging from $40 to $123. Pay can vary based on role, experience, and local cost of living.

    Median
    $70
    Low
    $40
    High
    $123

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    Figures represent approximate ranges and may vary based on experience, location, and other factors. For the most accurate information, please consult the employer directly. Contact us to suggest updates to this information.