Research Engineer, Machine Perception (Project Aria)

Meta Reality Labs Research (RL Research) brings together a multidisciplinary, cross-discipline R&D team with the shared goal of developing the next generation of AR and VR technologies. The Project Aria team works on complex, open problems in machine perception — building the complete stack from sensor design through state estimation, tracking, calibration, and 3D reconstruction to novel scene representations. We are seeking a Research Engineer to develop and advance the algorithms and software systems that turn cutting-edge perception research into robust, deployable technology on future AR/VR devices.

Responsibilities

• Plan and execute innovative engineering development to advance the state-of-the-art in machine perception for AR/VR — including vision-language models (VLMs), multimodal and egocentric scene understanding, and foundation models
• Develop and prototype tightly integrated hardware/software technologies, from research prototype to on-device deployment
• Analyze and improve the efficiency, accuracy, scalability, and stability of currently deployed systems
• Design, implement, and evaluate algorithms against real sensor data and experimental hardware
• Build tooling and infrastructure (data pipelines, replay/evaluation systems, benchmarks) that accelerate the research team
• Collaborate with researchers and engineers across disciplines throughout the project lifecycle, and clearly communicate agenda, progress, and results

Minimum qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 6+ years of C++ or Python experience building and shipping software systems
• Experience understanding, developing, and analyzing complex systems
• Experience with statistical analysis of data and mathematical modeling
• Interpersonal experience: cross-group and cross-functional collaboration
• Must obtain and maintain work authorization in the country of employment during employment Master's or PhD in Computer Science, Computer Vision, Machine Learning, or a related field
• Experience taking research prototypes to deployed products on constrained/embedded hardware
• Track record of results via first-authored publications at leading venues (CVPR, ICCV/ECCV, NeurIPS, ICLR, SIGGRAPH) or widely used open-source contributions
• Broad understanding of the full machine-perception pipeline, from sensors to high-level algorithms
• Experience with 3D computer vision, SLAM, vision-language models (VLMs), or multimodal learning