Camera ISP Computer Vision & Machine Learning Algorithm Engineer

Summary

At Apple, the Camera Algorithm team is looking for extraordinary algorithm engineers to work on the image capture and processing/rendering algorithms that serve all Apple product cameras! As part of the team, you will work on core camera/ISP/machine learning technologies based on Apple-crafted image signal processing pipelines and hardware components, such as the Apple Neural Engine. Here you will have the chance to define the way Apple cameras capture, process, and render outstanding still image and video quality. Our close-knit team champions an environment of product innovation, rapid product iteration, and collaboration at both team and cross-functional levels, granting you a liberating amount of autonomy. We work closely with various teams, such as Silicon Design, Camera HW/SW, and QA. Our team environment is dynamic, fast-paced, and requires a self-starter attitude.

Minimum Qualifications

Deep understanding of image signal processing for digital cameras. Strong embedded coding skills and understanding of object-oriented programming (OOP); proficiency in programming languages such as MATLAB, Python, C/C++, or similar. Self-driven approach to work, with a focus on time-sensitive practices, from problem identification to prototyping solutions and validation.

Preferred Qualifications

PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or a related technical field. Strong background in computer vision and embedded systems. Proficiency in algorithm development, with proven experience in camera imaging algorithms, using a mix of traditional image processing techniques and machine learning approaches. Ability to tackle complex technical challenges and devise innovative solutions. Quick to learn and apply new technologies and methodologies. Comfortable operating in a dynamic and fast-paced environment. Driven to deliver high-quality features that enhance user experience.

Description

In this role, you will be responsible for prototyping, implementing, and productizing embedded, lightweight computer vision algorithms for ISP processing and capture control. The ideal candidate should be able to balance optimization and performance in resource-constrained environments, keep up with rapid technological advancements in both computer vision and hardware, and ensure seamless integration with existing systems and processes. 1. Algorithm Development, Prototyping, and Implementation -Develop lightweight computer vision algorithms suitable for embedded systems, focusing on efficiency and performance. ---Utilize both traditional CV techniques (e.g., image processing, feature detection, IMU) and modern learning-based approaches. -Drive the development of algorithms from concept to deployment. Optimize algorithms for power and processing efficiency, and ensure they meet the necessary performance benchmarks. 2. Simulation and Testing -Use camera simulations to prototype and test algorithms before hardware implementation. -Conduct on-device testing and field testing to validate algorithm performance in real-world scenarios. 3. Collaboration and Integration -Work closely with various teams, such as SOC architecture, firmware, and other camera technology units, to integrate algorithms effectively. -Ensure smooth deployment and operation of algorithms within the broader camera system architecture. -Collaborate with multiple teams to deliver optimized solutions.