Job Description

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 Reality Labs brings together a team of world class researchers and engineers to build the next generation of AR and VR products, as well as pushing the state of the art in their fields. The Localization Team is looking for exceptional Computer Vision Engineers to join us in pushing forward the state of the art in localization. In addition to working with researchers and engineers within the AR/VR organization, this role offers opportunities to collaborate closely with the Facebook AI research group and Facebook Reality Labs.

Responsibilities

• Design and implement efficient and scalable systems related to localization, SLAM, and mapping to push the limits of AR and VR.
• Leverage AI algorithms to advance the state of the art in large-scale localization.
• Design, implementation, and optimization of software for shipping AR/VR devices.
• Collaborate with other researchers and engineers across teams at Facebook to develop experiments, prototypes, and concepts that advance the state of the art in AR/VR systems.
• Analyze and improve efficiency, accuracy, scalability, and stability of currently deployed systems.
  

Minimum Qualification

• Currently has, or is in the process of obtaining, a PhD in Computer Vision, Machine Learning, or related field
• Experience developing efficient computer vision software in C++, as well as experience with modern deep learning frameworks
• Experience working with areas related to 3D computer vision, such as SLAM, localization, 3D reconstruction, depth estimation, or similar
• Interpersonal experience: cross-group and cross-culture collaboration
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  
  

Preferred Qualification

• Experience with building real-time systems based on computer vision and deep learning methods for localization, SLAM, or mapping
• Specialization in computer vision areas related to: SLAM, localization, 3D computer vision, 3D reconstruction, and/or depth estimation
• Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in top-tier computer vision conferences, such as CVPR, ECCV/ICCV, 3DV, SIGGRAPH, BMVC or similar
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.)
  

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.