• Research Scientist, Imaging Systems and Image…

    Meta (Redmond, WA)


    Summary:

    Reality Labs Research (RL-R) brings together a highly interdisciplinary team of researchers and engineers to create the future of augmented/virtual reality and wearable personal AI devices. The Sensors and Systems Research (SSR) team’s goal is to create ultra low power and lightweight photon-to-inference pipelines that enable all-day, always-on contextual AI. The team cultivates an open environment where individuals thrive. We encourage a sense of ownership and embrace the ambiguity that comes with working on the frontiers of research.As a Research Scientist in SSR, you’ll partner with research scientists, electrical engineers, silicon engineers and others to build novel prototypes integrated with advanced AR/VR/AI devices. You’ll foster scientific explorations and generate viable paths to the consumer products that will connect people in meaningful ways for decades to come. You’ll work on a wide range of technology, from sensor design, bring up, validation to standing up prototypes and system level demonstration and exploration. Together, let’s step into the adventure of a lifetime as we make science fiction real and change the world.

    Required Skills:

    Research Scientist, Imaging Systems and Image Processing (PhD) Responsibilities:

    1. Contribute to the development of the next-generation imaging systems for wearable AR/VR/AI devices

    2. Collaborate with internal/external image sensor technologists and camera designers to define new sensor features and imaging system functionalities

    3. Develop image processing algorithms based on novel sensor features to achieve significant power consumption reduction and image quality improvement

    4. Develop AI-powered ultra-low-friction camera user interfaces on wearable devices

    5. Collaborate with engineering teams on building imaging system prototypes to demonstrate research goals

    Minimum Qualifications:

    Minimum Qualifications:

    6. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

    7. Currently has, or in the process of obtaining a PhD degree in Computer Science, Electrical Engineering or related field. Degree must be completed prior to joining Meta

    8. Experience in image signal processing

    9. Experience in computer-vision algorithms such as SLAM, hand tracking or 3D reconstruction

    10. Experience in vision-based machine learning algorithms

    11. Experience in imaging system prototyping

    12. Familiar with image sensor architecture and operation

    13. Familiar with lens optics

    14. Proficient in programming languages like C/C++, Python, MATLAB, Torch, etc

    15. 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:

    16. Experience with developing state-of-the-art camera systems for mobile devices

    17. Experience with integrated circuit design

    18. Experience with designing image signal processor (ISP)

    19. Proven track record of achieving significant results, as demonstrated by grants, fellowships, patents, or first-authored publications at leading workshops or conferences (e.g., CVPR, SIGGRAPH, ICCV, ECCV, etc.)

    Public Compensation:

    $117,000/year to $173,000/year + bonus + equity + 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 [email protected].