About The Position
iPhone is the most popular camera in the world. The flawless integration of software and hardware has led to features like Memories and Portrait Mode which deliver experiences that are magical. The Camera & Photos team 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, this team delivers the quality and features which help to re-define 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. The team is looking for passionate individuals to invent and develop new imaging algorithms to improve the photography experience.
Requirements
- PhD or MS + 3 years industry experience.
- Solid foundation in image processing, computer vision and deep learning fundamentals.
- Academic or project experience with image/video generation models.
Nice To Haves
- Minimum PhD + 2 years or MS + 5 years industry experience.
- Expertise in image processing, computer vision and deep learning.
- Strong experience with deep learning frameworks (e.g. PyTorch) and modern ML toolchains.
- Proven experience with training and developing generative models.
- Hands-on with multi-GPU/multi-node/distributed training and large-scale experimentation.
- Curiosity-driven with a track-record of identifying and solving complex technical problems.
- Excellent communication skills and an ability to bridge gap between technical depth and product impact.
- Collaborative mindset with openness to feedback and continuous learning.
- 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.
- Stay current with latest research in generative AI, computer vision and computational photography.
- Translate findings into practical applications.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
