Computer Vision Engineer

Apple

1h

About The Position

As a Machine Learning Engineer, you will be instrumental in driving the innovation of Apple's next-generation iPhone and iPad camera algorithms. You will identify, research, and develop cutting-edge generative AI-based machine learning models to address complex challenges in camera applications. You will collaborate cross-functionally with GPU optimization and framework teams to seamlessly integrate and deploy these advanced features into production, directly shaping the future of mobile imaging.

Requirements

• Generative AI Expertise: In-depth understanding and practical experience with advanced generative AI architectures, including (but not limited to) diffusion models, Generative Adversarial Networks (GANs), and autoregressive models.
• ML Development Lifecycle: Demonstrated industry experience in the full lifecycle development, optimization, and deployment of machine learning models.
• Technical Proficiency: Strong programming skills in Python and deep learning frameworks (e.g., PyTorch).
• An MS or PhD in Computer Science, Engineering, or a related technical discipline.

Nice To Haves

• Advanced Generative AI Applications: Extensive practical experience in the design, training, and fine-tuning of complex generative AI architectures, encompassing diffusion models, autoregressive models, GANs, and VLMs. Demonstrated success in optimizing and deploying generative models is a plus.
• Computer Vision Foundation: Robust theoretical and practical foundation in core computer vision principles, particularly applied to image and video enhancement and restoration tasks such as denoising, super-resolution, and in-painting.
• Analytical & Communication Skills: Exceptional analytical problem-solving capabilities and technical communication skills, essential for cross-functional collaboration and presenting complex research.
• Proven Research: Publication record in highly selective, peer-reviewed conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICML, ICLR)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees