Research Intern — Human Pose Understanding and Vision-Language Models

**Summary** We are looking for a research intern to join us for a research project aimed at publication at a top-tier venue. The intern will design and develop novel systems that explore the interaction between human pose understanding and vision-language models (VLMs), advancing how these modalities can be combined to reason about human motion, activity, and embodied behavior across images and video. **Description** Our group develops hand and body pose tracking algorithms for various apple devices and applications. One such example includes the hand tracking input for the Vision Pro. **Responsibilities** * Design and implement novel methods that integrate pose representations with vision-language models, targeting established academic benchmarks * Collaborate with researchers and engineers on the team to produce a publication-ready contribution * Benchmark against established evaluation suites and iterate toward state-of-the-art results **Minimum Qualifications** * Currently enrolled in a graduate program (M.Sc. or Ph.D.) in Computer Science, Electrical Engineering, or a related field * Publications at top-tier venues (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP or similar) * Strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch) * Solid foundation in computer vision, natural language processing, or multimodal learning **Preferred Qualifications** * Demonstrated expertise working with Vision-Language Models (VLMs) and/or Large Language Models (LLMs) * Experience with human pose estimation, motion modeling, or related body-tracking tasks * Familiarity with video understanding tasks and temporal modeling * Familiarity with multimodal learning and benchmarks that combine language with visual or spatial data * Experience with prompt engineering and optimization techniques At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace Role Number: 200671694-0865