Summary:
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.
Required Skills:
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.
Minimum Qualifications:
Minimum 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
Preferred Qualifications:
Preferred Qualifications:
- 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
- Experience working and communicating cross functionally in a team environment
Public Compensation:
$7,650/month to $12,667/month + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.