Computer Vision/Machine Learning Engineer

Apple's Camera algorithm team is seeking extraordinary algorithm engineers to work on image capture and processing/rendering algorithms for all Apple product cameras. The role involves working on core camera/ISP/Machine learning technologies based on Apple's crafted image signal processing pipeline and HW components, such as the Apple Neural Engine. You'll have the opportunity to define how Apple cameras capture, process, and render outstanding still image and video quality. The team environment is multifaceted, fast-paced, and requires a self-starter attitude. You'll work closely with various teams like Silicon Design, camera HW, and QA.

Key responsibilities include:

1. Scene Understanding and auto exposure.
2. ISP algorithm development and ISP tuning.
3. Architecture, configuration and pixel processing tuning.
4. Tone rendering/grading for targeted display, and remapping between SDR and HDR displays with fidelity.
5. Auto white balance and color management.
6. Machine learning solution development for real-time image processing, with low latency and low power consumption.

The ideal candidate is self-driven, passionate about image quality excellence, has a deep understanding of sensor characteristics, optics, and image signal processing in mobile imaging systems, and is devoted to disciplined practice from problem identification to implementation.

Apple offers a comprehensive compensation package, including base pay, potential stock awards, bonuses, and excellent benefits. The company is committed to inclusion, diversity, and equal opportunity.