Computer Vision Engineer at Apple

, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Apr, 26

Salary

0.0

Posted On

17 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Machine Learning, Computer Vision, Python, Deep Learning, Diffusion Models, Generative Adversarial Networks, Autoregressive Models, Image Enhancement, Image Restoration, Denoising, Super-Resolution, In-Painting, Analytical Skills, Communication Skills, Research

Industry

Computers and Electronics Manufacturing

Description

iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless hardware-software integration consistently pushes mobile photography boundaries. Features like the Photonic Engine, Portrait mode, and Super-high-resolution photos transform moments into magical experiences that delight our customers globally. The Camera Technologies & Systems team, within Camera & Photos org, delivers unparalleled image and video experiences by innovating at the intersection of state-of-the-art machine learning and computer vision. As a Senior Machine Learning Engineer, you’ll pioneer research and develop groundbreaking generative AI for image enhancement and restoration. Your work will enable new camera capabilities across the Apple ecosystem. Every "Shot on iPhone" billboard showcases our ingenuity; we invite you to join our mission and contribute to a world-renowned visual narrative. DESCRIPTION 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. MINIMUM QUALIFICATIONS 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. PREFERRED QUALIFICATIONS 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)

Responsibilities

As a Machine Learning Engineer, you will drive the innovation of Apple's next-generation iPhone and iPad camera algorithms. You will research and develop generative AI-based machine learning models to enhance camera applications.