Machine Learning Video Process Engineer

Apple Inc.; Cupertino (CA); Hybrid; USD 129,000 - 225,000; Full time

Job summary

Apple Inc. is seeking a Machine Learning Video Processing Engineer in Cupertino, CA to join the Video Engineering team. You will develop and optimize video processing algorithms, build data pipelines for model training, and integrate ML solutions into end-to-end video workflows.

The role requires strong ML and computer vision fundamentals, Python, and PyTorch expertise, with opportunities to advance through impact and collaboration across teams.

Qualifications

• Bachelor's degree required in a related field.
• Masters or PhD in ML, CS, EE, or related fields preferred.
• Knowledge of ML and video processing principles.
• Proficient Python and deep learning with PyTorch.

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.

Skills

Python

PyTorch

Machine Learning

Video Processing

Education

Bachelor's degree

Master's degree

PhD

Job description

Cupertino, California, United States Hardware

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.

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

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/videoscaling, 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.