Research Scientist Intern, Computational Imaging And Robotics (PhD)

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 24 consecutive weeks.

Responsibilities

Create novel systems and components for computational imaging that are efficient and achieve high performance through a combination of optics, sensors, algorithms and machine learning, targeted at contextual AI and robotics sensing applications. Explore novel and emerging sensing modalities for contextual AI and robotics, and push sensing ability in hard imaging regimes. Rapidly design, develop, prototype, execute and analyze advanced imaging and perception systems under real-world constraints of latency, power, and form factor. Collaborate with other researchers and engineers across optics, material, and robotics in a highly cross-functional and interdisciplinary team.

Qualifications

Currently has or is in the process of obtaining a PhD in the field of Computer Science, Electrical Engineering, Computer Vision, Computational Imaging, Robotics, Machine Learning, or a related field Demonstrated research experience in Computational Imaging, Computer Vision, Computational Imaging, Robotics, or Machine Learning Experience working within Python environments such as PyTorch, and experience working in a Unix environment Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Ability to commit to 24 consecutive weeks of full-time internship work Broad understanding of the full sensing pipeline, from optics and sensors through machine learning to high-level machine perception, contextual AI, and robot control Experience applying imaging or perception systems on robotics applications Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, conferences or journals such as CVPR, ICCV, ECCV, ICCP, ACM SIGGRAPH, ACM TOG, ICML, NeurIPS, ICLR, ICRA, IROS, RSS, or CoRL Proven experience building hardware research prototypes in close collaboration with a broad cross functional team Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Experience working and communicating cross functionally in a team environment Intent to return to a degree program after the completion of the internship/co-op