Research Scientist Intern, Computational Imaging And Robotics (PhD)

Meta; Redmond; On-site; AUD 34,000 - 44,000; Full time

Job summary

Meta Reality Labs Research invites emerging scientists and researchers for a 12- to 24-week internship with the Surreal Vision group in RL Research, aimed at advancing contextual AI and robotics.

The internship requires a PhD in related fields and demonstrated research in computational imaging, computer vision, robotics, or ML, plus experience with Python (PyTorch) and Unix. Applicants must have work authorization and be able to commit to 24 consecutive weeks.

Qualifications

• Currently pursuing a PhD in Computer Science, Electrical Engineering, Computer Vision, Computational Imaging, Robotics, Machine Learning, or related field
• Demonstrated research experience in Computational Imaging, Computer Vision, Robotics, or Machine Learning
• Experience with Python environments such as PyTorch and Unix
• Must obtain work authorization in country of employment at hire and maintain during employment
• Ability to commit to 24 consecutive weeks of full-time internship work
• Broad understanding of the sensing pipeline from optics and sensors through ML to robot control
• Experience applying imaging or perception systems on robotics applications
• Proven track record via grants, fellowships, patents, or publications (CVPR, ICCV, ECCV, ICML, NeurIPS, etc)
• Proven experience building hardware research prototypes in cross-functional teams
• Experience solving complex problems and evaluating tradeoffs and viewpoints
• Demonstrated software engineer experience via internships or open source contributions
• Experience working cross-functionally in a team
• Intent to return to degree program after internship

Skills

Python (PyTorch)

Unix environments

Research methodology

Cross-functional collaboration

Problem solving

Open source contributions

Team communication

Education

PhD in Computer Science

PhD in Electrical Engineering

PhD in Computer Vision

PhD in Computational Imaging

PhD in Robotics

PhD in Machine Learning

Tools

GitHub

Jupyter

Job description

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of contextual AI and robotics. The Surreal Vision group at RL Research is looking for emerging scientists and researchers with interest in novel computational imaging systems and robotics. Our goal is to perform cutting edge research leading to foundational technologies that will underpin Meta's future contextual AI-enabled devices and robots.

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.

• 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