Job Description

Facebook Reality Labs Research (FRL Research) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Surreal Vision group at FRL Research is seeking exceptional research scientists to solve the next generation of research challenges on the path to building future machine perception enabled technologies. The aim of this role is to develop and advance computer vision algorithms and SW systems for real-time and offline SLAM, visual odometry, localization, 3D reconstruction, and object understanding.

Research Scientist, 3D Computer Vision & Machine Perception (PhD) Responsibilities

* Research, develop and prototype advanced software technologies in the domain of tracking, 3D reconstruction, localization, object detection, and scene understanding.

* Analyze and improve efficiency, accuracy, scalability, and stability of currently deployed systems.

* Collaborate with team members throughout the lifetime of a project, from prototyping to deployed products.

* Deliver research results that have a direct impact on Facebook and Oculus products.

Minimum Qualifications

* Currently has or is in the process of obtaining a PhD in the field of computer vision, robotics or equivalent.

* Background in advanced geometric computer vision, including tracking, SLAM, visual-inertial odometry, state estimation, mapping, object understanding, scene reconstruction, or relocalization technologies.

* Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry.

* 5+ years experience with a mastery of modern features in C++ or Python.

* Experience designing machine learning algorithms, including experience creating software for data loading, training, and inference of novel ML architectures.

* Experience with ML frameworks such as PyTorch.

* Experience understanding, developing, and analyzing complex systems.

* Interpersonal experience: cross-group and cross-culture collaboration.

* Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications

* Experience with SLAM systems e.g. monocular, stereo, visual-inertial or RGBD.

* Background in optics or computational imaging.

* Experience working in a Linux environment.

* Broad understanding of the full machine vision pipeline from sensors to high-level algorithms.

* Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, BMVC, ICRA, IROS, or SIGGRAPH.

* Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.).

Locations

About the Facebook company

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities we're just getting started.

Facebook is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to accommodations-ext@fb.com.