Research Engineer Intern, Imaging System Simulation (PhD)

Employer

Job Description

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.

The Facebook Reality Labs (FRL) Sensors Team is helping build novel products in Augmented and Virtual Reality. Facebook AR/VR research in Motion Sensing Hardware is driving the state-of-the-art forward through relentless innovation. Our team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future AR/VR products at Facebook. Our team is looking for candidates with a good understanding of the image process in camera systems applied in eye/face/hand tracking or SLAM applications. We are looking for a candidate with research experience in the imaging system simulation to help on building an image sensor KPI simulator with the capability to integrate tracking system simulation pipelines.Our internships are twelve (12) to sixteen (16) weeks long and we have various start dates throughout the year.

Responsibilities
  • Investigate existing tracking system simulation pipelines
  • Propose a new simulation pipeline platform to handle different applications
  • Build realistic image sensor model to cover most key sensor performance parameters
  • Calibrate sensor model with real scene image
  • Integrate sensor model with new simulation pipeline platform to evaluate the impact of the sensor performance on system performance
Minimum Qualification
  • Currently has, or is in the process of obtaining, a PhD degree in computer science or related field with a focus on computer vision or tracking system design
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Understand image processing pipeline in camera systems
  • Experience in imaging system simulation
Preferred Qualification
  • Intent to return to degree-program after the completion of the internship
  • Experience in eye/face/hand tracking or SLAM system design or simulation
  • Knowledge of machine learning
  • Experience in performance and optimization of CV/ML or image processing software modules, particularly in the context of AR, VR, and or/MR
  • Experience coding in Matlab, Python, and C/C++
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 accommodations-ext@fb.com.