Job Description

Video Codec Machine Learning Engineer **San Diego, California, United States** **Machine Learning and AI** **Summary** Posted: **Apr 14, 2025** Weekly Hours: **40** Role Number: **200591408** Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. The Audio and Media Technologies (AMT) team, at the heart of Apple's innovative products such as iPhones, iPads, Macs, Apple Watches, AirPods, HomePods, Apple TVs, and Vision Pros, is seeking a highly skilled video codec machine learning engineer. Joining a small, dynamic team, you'll play a pivotal role in shaping future video coding standards and driving the development of innovative video compression and processing technologies for both current and future Apple products. This position requires a highly motivated individual with exceptional analytical and creative problem-solving skills, as well as a rapid learning ability. **Description** Your responsibilities encompass, but are not limited to, the following: Conduct research and develop novel video/image compression technologies. Contribute innovative techniques to image/video coding standards. Design, implement, and optimize image/video compression and processing algorithms tailored to various use cases. Collaborate effectively with experts in hardware and software. **Minimum Qualifications** + Deep understanding and strong experience in video coding standards, e.g. H.265/HEVC, H.266/VVC, AV1, or AV2. + In-depth knowledge of rate control, and video codec optimization. + Deep understanding and extensive experience in designing and optimizing neural networks. + Excellent software design, problem-solving, and debugging abilities, strong programming skills in C/C++. **Preferred Qualifications** + Experience in image or video processing is a plus. + Familiarity with the latest advancements in machine learning, generative video technologies, and computer vision would be highly valued. + Excellent collaboration skills and strong written and verbal communication skills are also desirable. **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 $139,500 and $258,100, 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 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 will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job Tags

Relocation,

Similar Jobs