For EmployersCoach ConnectReviewsAbout FairygodbossCareers @ FairygodbossPrivacy PolicyTerms & Conditions
Fairygodboss
CommunityJobsAdviceEventsReviewsFor EmployersCoach Connect
Sign inGet StartedGet started
CommunityJobsAdviceEvents
Apple

Machine Learning Video Processing Engineer

Oct 3, 2026• Cupertino, CA

About us

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

★ 3.7 out of 5 · 120 reviews

  • Size: 10,000+ employees
  • Industry: Technology: Manufacturing
View company profile ›

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 ›

Want to work on cutting edge technology that keeps the customer front and center? The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. As a machine learning engineer, you'll be developing machine learning based technologies for the image and video domain. As a member of a fast-paced team, you will also have the unique and exciting opportunity to shape upcoming products that have direct customer impact and will delight and inspire millions of people every day!

Description

This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of video and image processing quality. Your primary focus will be applying cutting-edge machine learning techniques to complex image and video challenges to create customer impact across current and future Apple products. In this role, you'll work both independently and collaboratively with team members to prototype innovative deep learning applications for video processing, presenting and demonstrating your work to cross-functional teams and leadership alike. You'll be responsible for designing sophisticated model architectures, fine-tuning performance parameters, and implementing architectural modifications to enhance overall output quality. Working closely with the team, you'll focus on seamlessly porting solutions across different platforms while optimizing models for memory efficiency, power consumption, and processing speed to balance quality in operating constraints. Additionally, you'll strategically distribute computational workloads across CPU, GPU, Apple Neural Engine, and other specialized hardware components to develop robust, viable solutions.

Preferred Qualifications

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

Experience in prototyping models for edge devices through quick iterations.

Familiarity with productization flow for ML models.

Prior experience working on deep learning techniques for video processing / computer vision.

Strong fundamentals in Computer architecture.

Good written and oral interpersonal skills

Minimum Qualifications

Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.

Excellent fundamentals in machine learning.

Knowledge of Video or Image processing or Computer Vision.

Solid programming skills for common ML frameworks like PyTorch or TensorFlow.

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 $194,700, 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.

Want more jobs like this?

Get jobs in Cupertino, CA delivered to your inbox when you sign up.

Additional Information

  • Salary: $129,300 – $194,700
  • Posted: Oct 3, 2026
Apply on company site
Apply on company site

Similar Jobs

  • Machine Learning Video Process EngineerAppleCupertino, CA
  • Machine Learning Video EngineerAppleCupertino, CA
  • Machine Learning Engineer, Video EngineeringAppleSunnyvale, CA
  • Research Engineer Intern (Agentic Systems & AI Infrastructure - TikTok-Generalized Arch) - 2027 Start (PhD)TikTokSan Jose
  • Video Machine Learning Engineer, Audio & Media TechnologiesAppleSan Diego, CA
  • Senior Machine Learning Engineer, LLM & Agentic AI - TikTok - Content Ecology Local Services - TikTok Content EcologyTikTokSan Jose

Suggested Searches

  • Apple Jobs
  • All Jobs

Search Additional Jobs

  • Remote-Friendly Machine Learning Video Processing Engineer Jobs
  • Cupertino, CA Jobs
Fairygodboss

Fairygodboss

  • Community Guidelines
  • Submissions & Editorial Guidelines
  • Privacy Policy
  • Terms & Conditions
  • The Muse

Advice

  • Community
  • Articles
  • Podcasts
  • Research
  • Pregnancy Week by Week
  • Browse Discussions

Jobs

  • Browse All Jobs
  • Remote Jobs
  • Company Reviews
  • Best Companies for Women

Events

  • Events Calendar
  • Virtual Career Fairs

Employers

  • Partner with Us

© 2026 FGB Muse Group Inc.

© 2026 FGB Muse Group Inc. All rights reserved.

  • About
    • About Us
    • Community Partners
  • Careers
  • FAQs
    • Community Guidelines
    • Submissions & Editorial Guidelines
  • Privacy Policy
  • Terms & Conditions