The Camera & Photos team at Apple is focused on enhancing the user experience of mobile photography through advanced computer vision, image processing, and machine learning. The Computational Imaging team specifically aims to redefine mobile photography by developing innovative camera pipelines and algorithms for devices like the iPhone and iPad, leveraging cutting-edge generative techniques.
Requirements
- Proven experience with training and developing generative models.
- 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.
- Stay current with the latest research in generative AI, computer vision, and computational photography.
- 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
- Collaborating closely with product, design, and research teams to bring your ideas to life.
- 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.
- MS + 5 years industry experience.
