Imaging Intern

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Facebook Reality Labs focuses on delivering Facebook's vision through Augmented Reality (AR) and Virtual Reality (VR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. Facebook Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. The Imaging Intern will develop image processing and/or computer vision (CV) solutions for HW implementation in Facebook's AR/VR products.

• This intern will assist in developing image processing/computer-vision algorithms, for implementation in either HW or embedded SW for our Facebook AR/VR products.
• Help to develop tools for calibration/tuning of image processing/computer vision algorithms

• Building frameworks and conducting testing/evaluation of algorithms performance

• Currently has, or is in the process of obtaining, a Bachelors or Masters in Computer Science, Electrical Engineering, or related field
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• Experience in Matlab and C/C++ coding
• Experience in computer vision, image signal processing, or related field

• Experience in aspects of HW implementation, such as logic design, computer architecture, etc

• Intent to return to degree-program after the completion of the internship/co-op

• Background in computational photography and/or machine learning

Facebook is proud to be an Equal 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.Facebook 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]