Camera Colour Algorithm Engineer

Description du poste:

Apple's camera colour algorithm team is looking for talented engineers to shape the future of photography and video across all Apple products. You'll work on cutting-edge camera technology, image signal processing, and machine learning, literally defining what makes an Apple camera better. As part of the camera ISP Algorithm team, you'll have real creative freedom to innovate and iterate quickly, collaborating directly with silicon design, camera HW/SW, and QA teams. If you're a self-starter who wants to see your ideas go from concept to product, this is your chance to make an impact on how people capture life's most important moments.
As a Camera Colour Algorithm Engineer at Apple, you'll play a pivotal role in shaping how our products capture and render colour. Your responsibilities will include developing innovative algorithms, diagnosing issues and fine-tuning parameters. You'll collaborate with HW & SW engineers, the architecture team, and the sensor team throughout the product development process. We're seeking a strong problem solver who thrives in fast-paced, cross-functional work and is passionate about superior colour rendering.
BS in Computer Science, Electrical Engineering, Imaging Science, Optics, or a related field. Experience in algorithm development, complex problem-solving and colour image processing. Skills in camera colour characterisation. Proficient in MATLAB, Python, C/C++, or similar programming languages
MS/PhD in Computer Science, Electrical Engineering, Imaging Science, Optics, or 3+ year of relevant industry experience Experience in camera ISP algorithms, including AWB and colour conversion Background in computational photography and machine learning Strong skills in diagnosing complex colour issues and fine-tuning parameters Spectral image processing experience is a plus Self-driven and passionate about achieving excellent colour image quality Practical experience in machine learning development and C++ programming Excellent communication skills for cross-functional collaboration