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Social Media, Technology, Internet Software & Services, Virtual & Augmented Reality

Research Engineer, Machine Perception (Project Aria)

Redmond, WAOnsiteFull Time$154,003–$217,000 /yrPosted 2 months ago

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Required skills

  • C++
  • Python
  • Machine Perception
  • software systems
  • statistical analysis
  • mathematical modeling
  • complex systems
  • data pipelines
  • research prototype
  • on-device deployment

Nice to have

  • Computer Vision
  • Machine Learning
  • SLAM
  • multimodal learning
  • embedded hardware
  • constrained hardware

Role summary

Meta Reality Labs Research is seeking a Research Engineer for Project Aria to develop and advance machine perception algorithms and software systems for AR/VR devices. This role involves planning and executing innovative engineering development, prototyping integrated hardware/software technologies, analyzing system performance, and building research infrastructure. The ideal candidate will have a Bachelor's degree, 6+ years of C++ or Python experience, and expertise in complex systems, statistical analysis, and mathematical modeling. Preferred qualifications include a Master's or PhD, experience with research-to-product deployment on embedded hardware, and a strong publication record in leading venues.

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


Preferred Qualifications
  • 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


$154,003/year to $217,000/year + bonus + equity + benefits

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