Apple
Machine Learning Video Engineer
Apple, Cupertino, California, United States, 95014
Machine Learning Video Engineer
Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now. Cupertino, California, United States Hardware 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 a good understanding of video or image processing and quality. Your primary focus will be the 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 independently and with other team members to prototype applications of deep learning to video processing and demonstrate 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 hardware 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 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 Key Qualifications 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 Education & Experience Additional Requirements 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 $143,100 and $264,200, 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.
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Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now. Cupertino, California, United States Hardware 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 a good understanding of video or image processing and quality. Your primary focus will be the 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 independently and with other team members to prototype applications of deep learning to video processing and demonstrate 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 hardware 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 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 Key Qualifications 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 Education & Experience Additional Requirements 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 $143,100 and $264,200, 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.
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