The Camera & Photos team at Apple focuses on user experience by using computer vision and image processing through machine learning. The Computational Imaging team develops the camera pipelines and innovative algorithms for Apple’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, our team delivers the quality and features which help to redefine mobile photography. In this role, you will work hands-on with diffusion models, transformers, and next-gen generative techniques, while collaborating closely with product, design, and research teams to bring your ideas to life. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you.
Requirements
- Expertise in image processing, computer vision, and deep learning.
- Strong experience with deep learning frameworks (e.g. PyTorch) and modern ML toolchains.
- Hands-on with multi-GPU/multi-node/distributed training and large-scale experimentation.
- Proven experience with training and developing generative models.
- Publications at major conferences (CVPR, ICCV, NeurIPS, ICML) or open-source contributions would be a plus.
Responsibilities
- Design novel generative model architectures and training strategies for vision and computational photography applications.
- Fine-tune and adapt pre-trained models for specific use cases and domains.
- Build scalable and robust data pipelines for large-scale image and video datasets.
- Develop comprehensive evaluation frameworks, including implementing quantitative metrics and qualitative analysis methodologies, conducting ablation studies and hyper-parameter optimization, for model performance assessment.
- Conduct deep technical analysis and identify research directions.
- Participate in code reviews, technical discussions, and knowledge sharing sessions.
- Communicate complex technical concepts through clear documentation and presentations.
Other
- MS + 5 years industry experience.
- Excellent communication skills and an ability to bridge gap between technical depth and product impact.
- Collaborative mindset with openness to feedback and continuous learning.
- Curiosity-driven with a track-record of identifying and solving complex technical problems.
- Stay current with the latest research in generative AI, computer vision, and computational photography.
