Generative AI Engineer, Camera Algorithms

Are you passionate about building groundbreaking camera technologies that enrich the lives of billions? Apple’s Camera Algorithms team develops the foundational technologies that define the photographic and cinematic experience for our users. We are the architects behind the image and video processing pipelines that bring every photo and video to life on all Apple products. We are seeking exceptional Generative AI engineers who share our passion for pushing the boundaries of computational photography and video. In this role, you will have the unique opportunity to leverage Apple's industry-leading hardware, including the Apple Neural Engine and our custom Image Signal Processor (ISP), to create features that redefine what's possible with a camera.

Description

As a member of our team, you will be at the heart of the innovation cycle, driving the future of Apple's camera capabilities. Your work will involve deep, cross-functional collaboration to deliver features that are seamlessly integrated and optimized.

Minimum Qualifications

BS and a minimum of 3 years of relevant industry experience
Deep understanding of and hands-on experience with modern Generative AI models (e.g., GANs, VAEs, Diffusion Models, Transformers) and fine-tuning techniques (e.g., LoRA).
Proficiency in ML frameworks such as PyTorch.
Strong programming skills in Python and/or C++.
Professional working proficiency in both Mandarin and English (written and verbal) is required for this role.

Preferred Qualifications

Proven track record of innovation in Generative AI for image/video processing (e.g., Text-to-Image, Text-to-Video or Video-to-Video), demonstrated through shipped products or publications at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, etc).
Strong problem-solving, critical thinking, and communication skills.
Experience as a key contributor to one industry-leading image/video generation model is a plus.
Familiarity with camera sensors and ISP algorithms is a plus.
Experience driving technologies from early-stage prototypes to polished, production-ready products is a plus.