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Apple Inc.

Machine Learning Video Processing Engineer

cupertino, CA

Check who can apply and the requirements below before continuing.

About this opportunity

Apple Inc. lists this Machine Learning Video Processing Engineer opportunity in cupertino, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Machine Learning Video Processing Engineer

Cupertino, California, United States Hardware

Imagine the impact of your work - technologies you help create will be experienced by over a billion people every day. At Apple, you’ll have the opportunity to contribute to products that consistently set industry standards and, at times, redefine the world. Our team is responsible for developing the core image and video technologies used in nearly all Apple products and services. We are seeking a motivated and adaptable Machine Learning Video Processing Engineer who thrives in technically challenging environments and is eager to push the boundaries of innovation.

Description

We are seeking a Machine Learning Engineer to help develop Apple’s next-generation video processing algorithms. In this role, you will collaborate closely with a dynamic team of Apple engineers to design and implement machine learning–based image and video processing technologies that power both current and future Apple products.

Develop, implement, and optimize machine learning based video processing algorithms

Contribute to data collection, curation, analysis and processing for algorithm training and evaluation

Research and evaluate state-of-the-art learning-based methods for low-level vision tasks

Minimum Qualifications

BS and a minimum of 3 years relevant industry experience

Hands on experience on image/video processing, machine learning and computer vision

Programming skills in Python, Java, or C/C++

Preferred Qualifications

PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields

Project experience on low level computer vision algorithms such as spatial/temporal filtering, image enhancement, or video analysis

Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc)

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 $150,400 and $277,600, 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.

Comprehensive medical and dental coverage

Retirement benefits

A range of discounted products and free services

Reimbursement for certain educational expenses — including tuition

Discretionary bonuses or commission payments

Relocation

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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Worksite address

cupertino, CA, 95014, US

Who can apply

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