Machine Learning Video Engineer
Apple
Machine Learning Video Engineer
Job Description
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! This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of video and image processing quality. Your primary focus will be applying cutting-edge machine learning techniques to complex image and video challenges to create customer impact across current and future Apple products. In this role, you’ll work both independently and collaboratively with team members to prototype innovative deep learning applications for video processing, presenting and demonstrating your work to cross-functional teams and leadership alike. You’ll be responsible for designing sophisticated model architectures, fine-tuning performance parameters, and implementing architectural modifications to enhance overall output quality. Working closely with the team, you’ll focus on seamlessly porting solutions across different platforms while optimizing models for memory efficiency, power consumption, and processing speed to balance quality in operating constraints. Additionally, you’ll strategically distribute computational workloads across CPU, GPU, Apple Neural Engine, and other specialized hardware components to develop robust, viable solutions.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- deep learningintermediate
- image processingintermediate
- video processingintermediate
- model architecturesintermediate
- fine-tuningintermediate
- prototypingintermediate
- performance optimizationintermediate
- memory efficiencyintermediate
- power optimizationintermediate
- processing speed optimizationintermediate
- CPUintermediate
- GPUintermediate
- Apple Neural Engineintermediate
- cross-functional collaborationintermediate
- presentation skillsintermediate
- independent workintermediate
- creative problem-solvingintermediate
Required Qualifications
- BS and a minimum of 3 years relevant industry experience (experience, 3 years)
- Excellent fundamentals in machine learning (experience)
- Knowledge of Video or Image processing or Computer Vision (experience)
- Solid programming skills for common ML frameworks like PyTorch or TensorFlow (experience)
Preferred Qualifications
- Experience in prototyping models for edge devices through quick iterations (experience)
- Familiarity with productization flow for ML models (experience)
- Prior experience working on deep learning techniques for video processing / computer vision. (experience)
- Strong fundamentals in Computer architecture (experience)
- Good written and oral interpersonal skills (experience)
Responsibilities
- This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of video and image processing quality. Your primary focus will be applying cutting-edge machine learning techniques to complex image and video challenges to create customer impact across current and future Apple products. In this role, you’ll work both independently and collaboratively with team members to prototype innovative deep learning applications for video processing, presenting and demonstrating your work to cross-functional teams and leadership alike. You’ll be responsible for designing sophisticated model architectures, fine-tuning performance parameters, and implementing architectural modifications to enhance overall output quality. Working closely with the team, you’ll focus on seamlessly porting solutions across different platforms while optimizing models for memory efficiency, power consumption, and processing speed to balance quality in operating constraints. Additionally, you’ll strategically distribute computational workloads across CPU, GPU, Apple Neural Engine, and other specialized hardware components to develop robust, viable solutions.
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Answer 10 quick questions to check your fit for Machine Learning Video Engineer @ Apple.
10 Questions
~2 Minutes
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Machine Learning Video Engineer
Apple
Machine Learning Video Engineer
Job Description
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! This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of video and image processing quality. Your primary focus will be applying cutting-edge machine learning techniques to complex image and video challenges to create customer impact across current and future Apple products. In this role, you’ll work both independently and collaboratively with team members to prototype innovative deep learning applications for video processing, presenting and demonstrating your work to cross-functional teams and leadership alike. You’ll be responsible for designing sophisticated model architectures, fine-tuning performance parameters, and implementing architectural modifications to enhance overall output quality. Working closely with the team, you’ll focus on seamlessly porting solutions across different platforms while optimizing models for memory efficiency, power consumption, and processing speed to balance quality in operating constraints. Additionally, you’ll strategically distribute computational workloads across CPU, GPU, Apple Neural Engine, and other specialized hardware components to develop robust, viable solutions.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- deep learningintermediate
- image processingintermediate
- video processingintermediate
- model architecturesintermediate
- fine-tuningintermediate
- prototypingintermediate
- performance optimizationintermediate
- memory efficiencyintermediate
- power optimizationintermediate
- processing speed optimizationintermediate
- CPUintermediate
- GPUintermediate
- Apple Neural Engineintermediate
- cross-functional collaborationintermediate
- presentation skillsintermediate
- independent workintermediate
- creative problem-solvingintermediate
Required Qualifications
- BS and a minimum of 3 years relevant industry experience (experience, 3 years)
- Excellent fundamentals in machine learning (experience)
- Knowledge of Video or Image processing or Computer Vision (experience)
- Solid programming skills for common ML frameworks like PyTorch or TensorFlow (experience)
Preferred Qualifications
- Experience in prototyping models for edge devices through quick iterations (experience)
- Familiarity with productization flow for ML models (experience)
- Prior experience working on deep learning techniques for video processing / computer vision. (experience)
- Strong fundamentals in Computer architecture (experience)
- Good written and oral interpersonal skills (experience)
Responsibilities
- This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of video and image processing quality. Your primary focus will be applying cutting-edge machine learning techniques to complex image and video challenges to create customer impact across current and future Apple products. In this role, you’ll work both independently and collaboratively with team members to prototype innovative deep learning applications for video processing, presenting and demonstrating your work to cross-functional teams and leadership alike. You’ll be responsible for designing sophisticated model architectures, fine-tuning performance parameters, and implementing architectural modifications to enhance overall output quality. Working closely with the team, you’ll focus on seamlessly porting solutions across different platforms while optimizing models for memory efficiency, power consumption, and processing speed to balance quality in operating constraints. Additionally, you’ll strategically distribute computational workloads across CPU, GPU, Apple Neural Engine, and other specialized hardware components to develop robust, viable solutions.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Video Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs