Research Scientist Intern, Egocentric Vision-Language Models (PhD)

Plan and execute innovative research to advance the state-of-the-art in egocentric AI, multi-modal understanding, and long-term reasoning. Collaborate with researchers and engineers to design, develop, and run experiments and prototype systems that push the boundaries of intelligent egocentric AI systems. Publish research findings in top-tier conferences and effectively present research outcomes to internal and external audiences.

Currently has, or is in the process of obtaining a PhD degree in the domain of Computer Vision, Natural Language, Reinforcement Learning or related field Knowledge in deep learning, computer vision, generative modeling, LLMs and VLMs Hands-on experience with implementing deep learning algorithms, large-scale training, benchmark and evaluation Programming experience in Python, deep learning frameworks such as Pytorch Experience working and communicating cross functionally in a team environment Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, NAACL, ACL, EMNLP Experience building systems based on machine learning, reinforcement learning and/or deep learning methods Demonstrated SWE or research experience via an internship, work experience, coding competitions, widely used contributions in open source repositories (e.g. GitHub), or top-tier publications Intent to return to a degree-program after the completion of the internship

$7,650/month to $12,667/month + benefits