Reality Labs Research (RL-R) aims to create ultra low power and lightweight photon-to-inference pipelines that enable all-day, always-on contextual AI for augmented/virtual reality and wearable personal AI devices at Meta
Requirements
- Experience in image signal processing
- Experience in computer-vision algorithms such as SLAM, hand tracking or 3D reconstruction
- Experience in vision-based machine learning algorithms
- Experience in imaging system prototyping
- Familiar with image sensor architecture and operation
- Familiar with lens optics
- Proficient in programming languages like C/C++, Python, MATLAB, Torch, etc
Responsibilities
- Contribute to the development of the next-generation imaging systems for wearable AR/VR/AI devices
- Collaborate with internal/external image sensor technologists and camera designers to define new sensor features and imaging system functionalities
- Develop image processing algorithms based on novel sensor features to achieve significant power consumption reduction and image quality improvement
- Develop AI-powered ultra-low-friction camera user interfaces on wearable devices
- Collaborate with engineering teams on building imaging system prototypes to demonstrate research goals
- Work on a wide range of technology, from sensor design, bring up, validation to standing up prototypes and system level demonstration and exploration
- Foster scientific explorations and generate viable paths to the consumer products that will connect people in meaningful ways for decades to come
Other
- 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
- Currently has, or in the process of obtaining a PhD degree in Computer Science, Electrical Engineering or related field
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Proven track record of achieving significant results, as demonstrated by grants, fellowships, patents, or first-authored publications at leading workshops or conferences
- Equal Employment Opportunity employer, providing reasonable accommodations for qualified individuals with disabilities and disabled veterans
