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Apple

Machine Learning Video Process Engineer

Cupertino, CA$129,300 – $225,300Posted 23 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

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 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.

Description

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 leaning solutions and work closely within a dynamic team to optimize and productize those features. Your responsibilities include, but not limited to:","responsibilities":"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.

Preferred Qualifications

PhD or Masters 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

Minimum Qualifications

Minimum requirement of a bachelors degree

Masters 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

Pay & Benefits

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 $129,300 and $225,300, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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