Computer Vision and Machine Learning Engineer - Light Estimation (TDG)

Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI

Summary

Posted:
Role Number:200281229
As part of Apple’s Technology Development Group (TDG), the Computer Vision and Machine Learning Engineer will work in a small and dynamic team to solve light estimation problems for AR applications. As a member of a fast-paced team, you have the unique and rewarding opportunity to work on upcoming releases of Apple products that delight and inspire millions of people every day! We invite you to contribute to our current Augmented Reality platform and craft the future of Apple! To succeed within this role, you should have shown experience in several of the following areas:

Key Qualifications

  • Solid foundation in computer vision; key areas of interest include HDR imaging, perceptual image similarity metrics, image segmentation, depth estimation, and 3D computer vision
  • Solid understanding of machine learning technology, in particular generative models, such as GANs, and experience on turning machine learning technologies into practical, state-of-the-art systems
  • Experience in 3D computer graphics, lighting, shading
  • Strong coding skills in Python and experience with C/C++ or ObjectiveC
  • Excellent communication and collaboration skills
  • Experience with (neural) inverse rendering is a plus
  • Experience developing for MacOS and/or iOS is a plus

Description

The Algorithms organization in Apple’s Technology Development Group (TDG) is looking for a skilled computer vision and machine learning research engineer, with a strong background in deep learning and computer vision. In this role, you will perform research and development work to design, implement, benchmark, and optimize algorithms for ambitious real-world problems in the domain of 3D scene understanding, in particular HDR environment map estimation, to enable Augmented Reality experiences. Your key responsibilities in this role are:
- - Research, design and implementation of computer vision and machine/deep learning algorithms
- - Benchmarking and fine-tuning of computer vision and machine/deep learning algorithms
 - Developing tools and data pipelines that provide concise insights into algorithm quality and limitations based on comprehensive large-scale test datasets
 - Optimizing these algorithms for real-time and low power constraints on embedded systems
 - Support algorithm integration into Apple products
 - Collaboration with teams across Apple with multidisciplinary skills

Education & Experience

MS in CS or related field with focus on machine/deep learning, computer vision, computer graphics, robotics or similar and 2+ years of relevant industry experience; or PhD

Additional Requirements