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Research Engineer Applied Research CV Machine Perception

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Facebook

Research Engineer Applied Research CV Machine Perception

United States, California, Sunnyvale
Details
Reality Labs Research (RL-R) brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. The technology that is being developed within the Surreal team at RL-R is a new generation of end-to-end real-time 3D object & scene understanding systems working across novel mobile sensor designs, sensor fusion, state estimation, computer vision, large-scale reconstruction and localization, as well as large-scale online inference and optimization. The Surreal Index team is seeking an exceptional experienced research engineer, with deep expertise in 3D object detection and 6D pose estimation, tracking, 3D graphics. The expectation is to perform applied research and push the boundaries with new architectures, scalable ML detection systems and training approaches with synthetic and real data. Good coding ability is expected with C++ and python, to build scalable frameworks which can run inference in real-time.
Research Engineer, Applied Research CV & Machine Perception Responsibilities
  • Plan and execute innovative research and engineering to advance the state of the art in machine perception and 3D object & scene understanding in AR/VR systems
  • Collaborate closely with ML researchers and engineers across both machine and human perception teams at Facebook to design prototypes, and concepts related to multi-user and multi object detection and tracking systems distributed across cloud and embedded devices at scale
  • Establish a comprehensive and deep technical understanding of LiveMaps Index and other object detection infrastructures within FB, industry and academia, to help the Index team to make informed decisions
  • Architect and communicate designs for Index services running both on embedded devices and cloud
  • Help set the direction and goals for the Index team, lead quality improvement efforts, perform code reviews with the team and give clear and actionable feedback on a timely basis
  • Gather use cases from both internal research teams and cross-functional partners to have a clear picture of the requirements for the Index platform
  • Given the set of requirements, help formulate a coherent roadmap that delivers features in a progressive, incremental fashion
  • Work closely with Index EM and TPM across the Surreal team to form dynamic virtual teams to pull together research features on the roadmap into end-to-end real-time systems
  • Help recruit new members to grow the team from bootcamp, industry, academia and onboard new members into the team, by mentoring them and making it easy to ramp up in the team's codebases and infra
  • Communicate proactively, effectively, and efficiently, both vertically within the Surreal Index, and horizontally across different teams not only within Surreal, but also in cross-functional collaborations
  • Proactively learn the bigger context, and bring the right level of context wherever necessary to increase the Index team’s clarity and visibility
  • Help Index EM and TPM drive cross-functional collaborations, to understand their requirements and roadmap, identify commonalities, and further influence their development to accelerate the goals for the overall LiveMaps mission
Minimum Qualifications
  • 6+ years of experience with real world system building, including design, coding (C++) and evaluation/testing (C++/Python)
  • 4+ years of experience in Object Detection, Pose Estimation, 3D Computer Vision Algorithms, 3D Reconstruction, Tracking and Deep Learning Frameworks
  • Master’s degree in the following fields: Computer Science, Software Engineering, Computer Vision, Robotics, 3D Reconstruction, Mapping & Localization, or a related field
  • 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. Degree must be completed prior to joining Meta.
Preferred Qualifications
  • PhD in in the following fields: Computer Science, Software Engineering, Computer Vision, Robotics, 3D Reconstruction, Mapping & Localization, or a related field
  • Publication in leading workshops or conferences such as CVPR, ECCV, ICCV, SIGGRAPH, ICCP, RSS, ICRA, ISMAR and 3DV
  • Experience in real-time computer graphics or modern GPU programming (CUDA, OpenGL, OpenCL)
  • Experience in engineering scalable, distributed systems and cloud services
  • Experience working in Linux environments and across PC and mobile/embedded hardware
  • Experience training and testing ML systems at scale
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