Meta AR/VR Job | Research Scientist, Applied Mathematic for Eye-Tracking | Oculus
Job（岗位）: Research Scientist, Applied Mathematic for Eye-Tracking | Oculus
Type（岗位类型）: Research
Citys（岗位城市）: Redmond, WA
Date（发布日期）: 2022-1-20
Summary（岗位介绍）
Reality Labs (RL) 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 RL 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 Meta 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.
Qualifications（岗位要求）
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
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.
Description（岗位职责）
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
Additional Requirements（额外要求）
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
