The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR. The Surreal Vision group at RL Research is looking for emerging scientists and researchers with interest in novel computational imaging systems and hardware-software co-design. Our goal is to perform cutting edge research leading to foundational technologies that will underpin Meta's future VR and contextual AI-enabled AR devices. We welcome PhD students across computer science, electrical engineering, computer engineering, applied physics, and related disciplines. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
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Research Scientist Intern, Computational Imaging (PhD) Responsibilities:
- Create novel systems and components for computational imaging systems that are efficient and achieve high performance through a combination of optics, algorithms and machine learning.
- Significantly advance the state of the art for end-to-end approaches along the full imaging and machine perception pipeline (including camera systems, ISP, machine perception and contextual AI approaches).
- Rapidly design, develop, prototype, execute and analyze advanced imaging, perception and contextual AI systems for future devices.
- Collaborate with other researchers across various disciplines in a highly cross-functional and interdisciplinary team.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Currently has or is in the process of obtaining a PhD in the field of Computer Science, Computer Vision, Machine Learning, Computational Imaging, or a related field.
- Demonstrated research experience in Computational Imaging, Computer Vision, Computer Graphics, or Machine Learning.
- 2+ years experience in using Python or C++ for Machine Learning and Computer Vision.
- Broad understanding of the full machine vision pipeline from optics, sensors, machine learning approaches to high-level machine perception and contextual AI algorithms.
- 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, ACM SIGGRAPH, ACM TOG, ICLM, NeurIPS, ICRA, International Conference on Computational Photography (ICCP), or similar.
- Demonstrated research results covering the full machine vision pipeline.
- Proven experience building hardware research prototypes in close collaboration with a broad cross functional team.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- 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.
- Intent to return to degree program after the completion of the internship/co-op.
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
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@fb.com.
$7,800/month to $11,293/month + benefits
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.