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 TED Camera and Sensors group at Facebook Reality Labs is developing products for the next generation of augmented and virtual reality. Amongst other focus areas, the group specializes in research and implementation of biosensors with an eye towards driving the state of the art. We are looking for intern candidates with experience in classical and machine learning algorithm development with time-varying signals to collaborate with our team in pursuit of novel sensing technologies.

Our internships are twelve (12) to sixteen (16) weeks long, and we have various start dates throughout the year.

Responsibilities

• Collaborate with researchers and engineers across product and research teams within AR/VR at Facebook on biosensing systems
• Create, execute, and optimize signal processing algorithms, including single sensor and/or sensor fusion scenarios
• Aid in designing data collection pipelines for testing sensors and algorithms
  

Minimum Qualification

• Currently has, or is in the process of obtaining, a PhD in the field of Computer Science, Electrical Engineering, or a related field
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• 2+ years of experience with independent research
• Direct experience developing sensor processing algorithms for sensing systems
• Proficiency in programming in Python
• Interpersonal skills: cross-group and cross-culture collaboration
  

Preferred Qualification

• Intent to return to degree-program after the completion of the internship/co-op
• Experience implementing deep-learning architectures for image processing applications
• Knowledge of biosensors other other “1D” sensors
• Experience programming in Pytorch or Tensorflow
  

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.