Camera Software - Machine Learning Research Engineer

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 the latest research in generative AI, computer vision, and computational photography. Translate findings into practical applications.

• 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 the latest research in generative AI, computer vision, and computational photography
• Translate findings into practical applications

• 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
• MS + 5 years industry experience

• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses
• Discretionary bonuses or commission payments
• Relocation assistance

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.