Source description
About the role
Machine Learning Video Process Engineer
Cupertino, California, United StatesHardware
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.
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:
-
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.
-
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
-
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
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.
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.
Content has loaded
More at Apple
Related open roles
Engineering Manager, Machine Learning & NLP, Input Experience
San Francisco Bay Area
Senior Machine Learning Engineer - System Experience Personalization
United States
Machine Learning Engineer, Natural Language Understanding, Proactive
San Francisco Bay Area
Machine Learning Manager, Search & Knowledge Platforms
San Francisco Bay Area · Seattle
Machine Learning Engineer, ASE Search Team
Seattle
ML Agent Engineer
United States · Onsite