About the role
AI summarisedApple is seeking a Generative AI Engineer to join its Video Engineering Camera Algorithms team, focusing on advancing computational photography and video through cutting-edge AI models. The role involves developing and optimizing generative AI features for image and video processing across Apple’s product lineup, leveraging Apple’s hardware-software integration. Candidates will collaborate across functions to deliver innovative, production-ready camera technologies.
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Key Responsibilities
- Leverage Apple's industry-leading hardware to create camera features that redefine what's possible with a camera
- Drive the future of Apple's camera capabilities through deep, multi-functional collaboration
- Develop foundational technologies for photographic and cinematic experiences on Apple products
- Build and optimize image and video processing pipelines using generative AI models
- Integrate AI-driven features seamlessly into Apple's camera systems
- Contribute to the innovation cycle from early-stage prototypes to production-ready products
- Apply modern Generative AI models (e.g., GANs, VAEs, Diffusion, Transformers) to image and video processing tasks
- Fine-tune models using techniques such as LoRA and DPO for camera applications
- Collaborate across teams to deliver optimized, user-facing camera features
- Innovate in areas such as Text-to-Image, Text-to-Video, and Video-to-Video generation for camera use cases
Requirements
- Bachelor's Degree in Electrical Engineering, Computer Science, or Computer Engineering
- Minimum of 3 years of relevant industry experience
- Deep understanding and hands-on experience with modern Generative AI models (e.g., GANs, VAEs, Diffusion Models, Transformers)
- Experience with fine-tuning techniques such as LoRA and DPO
- Proficiency in ML frameworks such as PyTorch
- Proven track record of innovation in Generative AI for image/video processing (preferred)
- Experience as a key contributor to an industry-leading image/video generation model (preferred)
- Familiarity with camera sensors and ISP algorithms (preferred)
- Experience driving technologies from early-stage prototypes to polished, production-ready products (preferred)
- Strong problem-solving, critical thinking, and communication skills (preferred)
- Demonstrated innovation through shipped products or publications at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, etc.) (preferred)