Job description

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. 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 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

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Keywords to mirror

pythonmachine learning

Platform: meta
Effort: medium

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