Camera Machine Learning Engineer
About the role
Machine Learning Engineer in Apple's Camera Hardware Engineering team responsible for research, design, development, test, and qualification of camera hardware. Collaborates with hardware, software, and image processing teams to develop cutting-edge camera technologies, focusing on ML algorithms for image/video processing, computational photography, and scene understanding, along with data-driven development and prototyping/evaluation.
Responsibilities
- ML Algorithms: Research, design, and implement machine learning algorithms for various camera tasks, including image and video processing, computational photography, and scene understanding.
- Data-Driven Development: Collaborate with data collection teams to curate large-scale image and video datasets and perform data analysis and preprocessing to train and validate your ML models effectively.
- Prototyping and Evaluation: Develop prototypes of ML algorithms and evaluate their performance through rigorous testing and user feedback. Your insights will drive continuous improvement.
Qualifications
- Bachelor’s degree in Computer Science, Electrical Engineering, Physics, Optics, or related field and 10 years of relevant experience
- Experience with Python programming and deep learning frameworks like PyTorch
- Experience with machine learning and computer vision principles, and algorithms.
- Experience with camera and/or image sensor technologies.
- MS or Ph.D. in Machine Learning, EE, CS, Physics, Optics, or equivalent and 3+ years of experience in machine learning research or relevant industry experience
- Experience with applying deep learning to various computer vision tasks, such as: Object recognition, Image segmentation, Inpainting, and Anomaly detection
- Experience in applying generative AI and reinforcement learning techniques to enhance hardware design processes.
- Experience with using advanced ML methods to optimize system architectures and improve image quality in the hardware design domain.
- Experience with image quality metrics and evaluation methodology
- Experience with camera components, functions, and the camera ISP pipeline
- Experience with megapixel CMOS image sensor technology, lens selection, and qualification
Skills
Benefits
- Comprehensive medical and dental coverage
- retirement benefits
- discounted products and free services
- reimbursement for certain educational expenses including tuition
- discretionary bonuses or commission payments
- relocation assistance
- Apple Employee Stock Purchase Plan
- discretionary employee stock programs
About Apple
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
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