Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free AR/MR, and push the future of computing platforms. We are a team dedicated to AR and MR research and products, committed to driving the state-of-the-art forward through demonstrated experience in innovation. The potential of AR and MR to change the world is immense—and we’re just getting started. The Reality Labs Silicon team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future Reality Labs products. From mixed reality and human interaction to natural input and beyond, the silicon team focuses on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up. The team’s mission is to develop cutting-edge image processing, computer vision, and machine learning core technologies for on-device imaging in combination with cloud computing. We are combining ML and classic algorithms to achieve product requirements.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 6+ years experience in developing image quality tuning and evaluation systems
• Experience in Python and/or MATLAB, and C++ for image processing and automation tasks

PREFERRED QUALIFICATIONS:

• Knowledge of image and video quality metrics and evaluation methodologies
• Experience with software-hardware co-design and developing models that interact with low-level system components
• Experience with designing image processing or computer vision algorithms optimized for specialized hardware such as GPUs, Digital Signal Processors (DSP), or custom Application-Specific Integrated Circuits (ASIC)
• Familiarity with state-of-the-art techniques in computational imaging, computer vision, or Augmented Reality/Virtual Reality (AR/VR) applications

• Build new tools and workflows for evaluating and improving the visual quality and computational efficiency of vision systems
• Perform image and video quality evaluations using both objective and subjective methods
• Collaborate with software teams to co-design image tuning firmware and algorithm for performance optimization
• Collaborate with image architecture and hardware teams to co-design algorithms that leverage specialized accelerators or custom silicon for optimized performance