Camera ISP Computer Vision & Machine Learning Algorithm Engineer

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.

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.
• 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.