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. The Surreal Vision group at RL Research is seeking exceptional Research Scientists to research and help build the egocentric machine perception functionalities and digital twins of 3D scenes that will underpin future VR and contextual-AI-enabled AR devices.