计算成像与机器人研究科学家实习生

Meta（Meta Platforms）岗位：Research Scientist Intern, Computational Imaging And Robotics (PhD) 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.

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

Broad understanding of the full sensing pipeline, from optics and sensors through machine learning to high-level machine perception, contextual AI, and robot control

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)

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Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

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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.