Computer Vision / Machine Learning Intern (Video Intelligence)

Descripción del puesto:

If you are passionate about advancing video understanding, video generation, and photography intelligence, and are driven to pursue excellence, embrace challenges, collaborate with others, and learn new things along the way, Apple is the right place for you. We are looking for engineers who combine deep technical expertise, creativity, and systems thinking to push the boundaries of video intelligence.\",\"description\":\"The Video Intelligence Intern will join the China Vision Lab under the Video Engineering organization, contributing to the development of on-device computer vision and machine perception technologies across Apple's ecosystem.\\n\\nIn this role, you will design and implement cutting-edge machine learning systems in areas such as video understanding, video generation, and photography intelligence. You will work on advanced algorithms and models that are optimized to run efficiently across a range of Apple products, including iPhone, iPad, and Vision Pro.\\n\\nThis position offers a unique opportunity to bridge research and product, delivering state-of-the-art experiences to millions of users. You will collaborate closely with cross-functional teams to drive innovation across the full technology stack and help bring new ideas from concept to production.\",\"responsibilities\":\"Design and develop machine learning models for video understanding, video generation, and computational photography\\nOptimize models for efficient on-device deployment across Apple platforms\\nConduct research and prototype state-of-the-art algorithms in video intelligence\\nCollaborate with cross-functional teams including hardware, software, and product design to deliver end-to-end solutions\\nAnalyze and improve system performance, scalability, and user experience\\nFile patents and papers in top-tier conferences\",\"preferredQualifications\":\"Publications in top-tier conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH)\\nSolid understanding and industry experiences on computational photography, visual perception or reasoning algorithms, MLLM, diffusion models, etc\\nFamiliarity with optimizing algorithms that run efficiently on mobile/embedded platforms\\nStrong problem-solving skills and ability to work in a fast-paced environment\\nTeam oriented, result oriented, and self motivated\",\"minimumQualifications\":\"Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, or a related field\\nStrong foundation in computer vision and machine learning\\nExperience with deep learning frameworks such as PyTorch or TensorFlow\\nSolid programming skills in Python and/or C++\\nFamiliarity with video processing, image understanding, or generative models