Camera ISP Computer Vision & Machine Learning Algorithm Engineer
Apple· Hardware
Full-timePosted 3w ago
About the role
Algorithm engineer role focused on prototype, implement, and productize embedded computer vision algorithms for ISP processing and camera capture, integrating with Apple’s camera pipeline and hardware components.
Responsibilities
- 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.
- 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.
- 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.
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.
- 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.
Benefits
- Comprehensive medical and dental coverage
- retirement benefits
- range of discounted products and free services
- education reimbursements for career advancement (tuition)
- discretionary bonuses or commission payments (eligibility varies)
- relocation assistance
- Stock programs eligibility (employee stock purchase plan, discretionary RSUs)
- opportunity to become an Apple shareholder
Last updated Oct 2, 2026. Interested? Apply on the company site.
About Apple
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