Camera Machine Learning Engineer

Apple, Inc.

San Francisco, CA

JOB DETAILS
SKILLS
Algorithms, Apple, Apple Hardware, Artificial Intelligence (AI), Benchmarking, Computer Engineering, Computer Science, Computer Vision, Deep Learning, Electrical Engineering, Hardware Design, Image Processing, Internet Service Providers, Leading Edge Technology, Machine Learning, Optics, Photography, Physics, Python Programming/Scripting Language, Quality Management, Quality Metrics, Reinforcement Learning, System Architecture, Test Plan/Schedule
LOCATION
San Francisco, CA
POSTED
Today

Role Number: 200624626-3401

Summary

Are you a passionate Machine Learning Engineer with a deep love for photography? Join Apple's Camera Hardware Engineering team and help us redefine the camera experience for millions of users worldwide. As a key player in our innovative team, you will collaborate closely with hardware, software, and image processing specialists to develop cutting-edge camera technologies.

Description

As a Machine Learning Engineer in the Camera Hardware Engineering group you will be responsible for all research, design, development, test, and qualification of camera hardware for Apple products. This team is seeking an experienced Machine Learning Engineer with a background in Camera and image sensor technologies. You will bring your expertise to the team and be responsible for ongoing design, evaluation, benchmarking and characterization of Apple camera products.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, Physics, Optics, or a related field


  • Experience with Python programming and deep learning frameworks like PyTorch


  • Experience with machine learning and computer vision principles, and algorithms.

  • Experience with camera and/or image sensor technologies.

Preferred Qualifications

  • MS or Ph.D. in Machine Learning, EE, CS, Physics, Optics, or equivalent and 3+ years of experience in machine learning research or relevant industry experience


  • Experience with applying deep learning to various computer vision tasks, such as: Object recognition, Image segmentation, Inpainting, and Anomaly detection


  • Experience in applying generative AI and reinforcement learning techniques to enhance hardware design processes. 


  • Experience with using advanced ML methods to optimize system architectures and improve image quality in the hardware design domain.

  • Experience with image quality metrics and evaluation methodology


  • Experience with camera components, functions, and the camera ISP pipeline

  • Experience with megapixel CMOS image sensor technology, lens selection, and qualification

About the Company

A

Apple, Inc.

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer/IT Services
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs