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.

Facebook Reality Labs (FRL) brings together a world-class, cross-discipline R&D team with the shared goal of developing the next generation of AR and VR technologies. The Eye Tracking research group at FRL is seeking exceptional Research Scientists with strong applied mathematics skills to achieve great strides in the state-of-the-art eye tracking solutions for VR/AR form factor devices at our research location. The primary focus for this role is to investigate theoretical and empirical constructs for fusing data from multi-modal sensor stream to accurately and precisely track all forms of eye-motions. In this role, there are opportunities to work closely with the Facebook AI and applied machine learning groups, in addition to leveraging the cross-disciplinary collaboration opportunities with the members of the eye-tracking research team working on novel sensor architecture design and the computer vision team working to develop realistic rendering of human eye motion. The ideal candidate will have some experience working in a fast-paced industrial research environment.

Responsibilities

• Research on dynamical models for eye movement
• Research at the intersection of model based sensor fusion, Kalman filters, deep learning, and state estimation
• Leverage rendering engines to simulate multi-modal sensor data captures as a vehicle for data collection to study the sensor fusion eye tracking problem
• Collaborate closely with the sensor design team in formulation of the sensor architecture for eye tracking, designing experimental data collection protocols and participate in data collection efforts
• Embrace the fluid and ambiguous nature of the AR/VR problem space and the fast paced nature of the work environment
• Be mindful of practical constraints such as size, weight, cost, power and bandwidth constraints of future consumer devices
  

Minimum Qualification

• PhD in any of the following areas: Applied Math, Physics, Control Systems, Electrical Engineering, Machine Learning
• 2+ years of experience working with Kalman filters (and extensions thereof) for state estimation
• 2+ years of experience with statistical analysis of data and mathematical modeling
• 2+ years of experience developing machine learning solutions for industrial applications
• 2+ years of experience in Python (or MATLAB), and deep-learning packages such as PyTorch, TensorFlow
• Interpersonal skills: cross-group and cross-culture environment
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
  

Preferred Qualification

• Demonstrated experience working in an industrial research environment via an internship, work experience
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ACC, ICML, ICLR, NIPS, etc. and/or Journals such as JMLR, PRL, IEEE Trans on Controls, Sensors
  

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.