Machine Learning Video Engineer

Apple • Cupertino, CA

169d

About The Position

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!

Requirements

• BS and a minimum of 3 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

Nice To Haves

• 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

Responsibilities

• Develop machine learning based technologies for the image and video domain.
• Apply cutting-edge machine learning techniques to complex image and video challenges.
• Prototype innovative deep learning applications for video processing.
• Present and demonstrate work to cross-functional teams and leadership.
• Design sophisticated model architectures and fine-tune performance parameters.
• Implement architectural modifications to enhance overall output quality.
• Port solutions across different platforms while optimizing models for memory efficiency, power consumption, and processing speed.
• Distribute computational workloads across CPU, GPU, Apple Neural Engine, and other specialized hardware components.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees