Machine Learning Video Engineer
Cupertino, California, United States
Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways.Summary
Posted: Dec 4, 2024Role Number:200581688
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 video 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 expertise in machine learning and good understanding of video or image processing and quality. Your primary focus will be application of machine learning techniques to image and video problems to create positive customer impact in current and future Apple products. In this role you will work on your own and with other members of the team to prototype application of deep learning to video processing and demonstrating to XF teams as well as leadership. You will be working on porting to different platforms and optimizing for memory, power and speed as well as distributing workload across CPU, GPU, Apple Neural Engine and other HW to develop viable solutions. You will work in an environment that fosters cross functional collaboration with several teams across software and hardware to deliver great holistic products.
Minimum Qualifications
- BS and a minimum of 10 years relevant industry experience
- 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
Preferred Qualifications
- Experience productizing ML models
- Prior experience working on deep learning techniques for video processing / computer vision.
- Experience with programming on GPUs via APIs Metal / Cuda Open GL or Open CL
- Strong fundamentals in Computer Architecture and Operating Systems
- Good written and oral interpersonal skills
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 $175,800 and $312,200, 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 take affirmative action to ensure 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.
Tags: APIs Architecture Computer Vision CUDA Deep Learning Engineering GPU Machine Learning ML models PyTorch TensorFlow
Perks/benefits: Career development Equity / stock options Health care Relocation support
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