Computer Vision & Machine Learning Engineer

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build or service we create is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Here youll do more than join something youll add something!nnWe are a team of computer vision and machine learning engineers building real-time perception systems motion synthesis and human understanding technologies for current and future Apple products. The VCV org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We are looking for engineers with expertise in deep learning-focused computer vision for human understanding motion synthesis visual recognition biometric algorithms and 3D perception this role you will help design build and ship core perception technologies motion synthesis systems and human understanding algorithms used by millions of users across Apples ecosystem.

You will work on cutting-edge computer vision and machine learning problems developing algorithms and systems that enable natural human-computer interaction. This includes human perception motion synthesis biometric recognition 3D vision and performance-critical real-time will be responsible for developing and optimizing computer vision and machine learning algorithms for human understanding including pose estimation gesture recognition facial analysis and behavioral modeling. You will build motion synthesis systems and algorithms for realistic human motion generation and animation design and implement biometric algorithms for secure authentication and identification systems and create real-time 3D perception and tracking systems for spatial computing and AR/VR applications. As a member of a fast-paced team you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every day.

Masters or equivalent practical experience in Computer Science Computer Vision Machine Learning or related technical fieldnExperience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision language video etc.)nProficiency in Python and in a modern deep learning framework such as PyTorch or JAXnExperience with rapid prototyping reproduction and validation of research ideasnStrong mathematical foundations in machine learning computer vision or related fieldsnExperience with foundation model architectures and training methodologiesnExperience working effectively in a multi-functional collaborative environment

PhD or equivalent practical experience in Computer Science Machine Learning Computer Vision or a related technical fieldnDemonstrated expertise in deep learning with either: A publication record in relevant conferences (e.g. NeurIPS ICML ICLR CVPR ICCV ECCV COLM etc) or a strong track record of applying deep learning techniques to real-world productsnExperience with foundation models (language or multimodal) including training fine-tuning and deploymentnExperience applying foundation models to build autonomous or semi-autonomous agents including planning task decomposition and multi-step reasoningnExperience with multimodal pretraining vision-language models video-language models and multimodal alignmentnExperience with large-scale distributed training and model parallelismnStrong communication skills and ability to present research findings to both technical and non-technical audiences