Advance the frontier of egocentric AI, tackling ambitious research challenges at the intersection of computer vision and natural language, contributing to the development of next-generation intelligent systems.
Requirements
- Programming experience in Python, deep learning frameworks such as Pytorch, Jax
- Research and/or work experience in machine learning, deep learning, and/or NLP
- 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, ECCV/ICCV, ICLR, ICML, NeurIPS, NAACL, ACL, EMNLP
- ECCV/ICCV, ICLR, ICML, NeurIPS, 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
Responsibilities
- 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.
Other
- 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
- 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
- Intent to return to a degree-program after the completion of the internship
