Camera Software - Computational Photography/Machine Learning Research Engineer

Summary
The Camera Algorithms team is looking for passionate, self-driven computer vision/computational photography research engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like DeepFusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world.

Key Qualifications
Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems

Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques

Strong coding skills in Python and/or C/C++

GPU programming skills a big plus

Experience with deep learning frameworks like PyTorch or TensorFlow

Excellent verbal and written communication skills

Creativity and curiosity for solving complex problems

Description
As a machine learning research engineer on our team, you will contribute to algorithm design and implementation. You will develop deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovate ideas to product. We are seeking an innovative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build and deploy deep learning models that help us design the next generation Apple camera imaging pipeline.

Education & Experience
MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields

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