Meta AR/VR Job | Research Scientist - Neural Interface Interactions
Job（岗位）: Research Scientist - Neural Interface Interactions
Type（岗位类型）: 3D Software Engineering | Design, Engineering, Machine Learning, Research, User Experience
Citys（岗位城市）: New York, NY
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
At Facebook Reality Labs (FRL), our goal is to explore, innovate and design novel interfaces and hardware subsystems for virtual, augmented, and mixed reality experiences. We are looking for a skilled and motivated Research Scientist to join our team, whose mission is to unleash human potential by erasing the bottlenecks between user intent and action. We are specifically looking for a candidate with experience in HCI and interactive computing and who can work with a team of researchers who are exploring the potential of neural interfaces, which has grown out of the acquisition of CTRL-labs. More broadly, the chosen candidate will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities.
Qualifications（岗位要求）
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
PhD in Computer Science, Mathematics, Engineering, or related field
Experience working independently to design, execute, interpret, and present interactions research
Description（岗位职责）
Plan and execute cutting-edge research of forward-looking interactions that are uniquely enabled by neural interface technology
Collaborate with neuroscientists and machine learning experts to unlock and perfect new capabilities to build interactions upon
Create prototypes which explore neural interfaces in a variety of environments and situations
Measure and evaluate the performance and qualities of promising interactions
Additional Requirements（额外要求）
Experience working with novel/prototype hardware, robotics, or physical computing
Experience with gestural or wearable computing interfaces
Familiarity with machine learning algorithms
Familiarity with real-time signal processing (filtering, debouncing, etc.)
Technical and non-technical communication skills
