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Facebook Research Scientist, Machine Perception & Learning (PhD) in Redmond, Washington

Summary:

Facebook Reality Labs brings together a world-class R&D team of researchers, developers, and engineers to build the future of connection within virtual and augmented reality. We're developing all the technologies needed to enable breakthrough AR glasses and VR headsets. The Surreal Vision research group at FRL is seeking exceptional Research Scientists to achieve great strides in general scene understanding at our research location in Redmond, WA. The focus of this role lies in formulating a new generation of end-to-end real-time 3D scene understanding systems working across novel mobile sensor design, state estimation, computer vision, reconstruction, and large-scale online inference and optimization. In this role, there are opportunities to work closely with the Facebook AI research and applied machine learning groups, in addition to the leveraging the exciting team here at FRL, working across cutting edge device technologies in sensing and computational platforms.

Required Skills:

  1. Looking at the limit of always-on ML within the context of consumer AR devices powered by AI

  2. Research across Machine Perception at the intersections of Deep Learning, reconstruction and state estimation

  3. Large-scale distribution of consumer devices operating within a cloud to client computing infrastructure

  4. Analysis of computing data hierarchy from cloud to mobile device client

  5. Understanding size, weight, cost, power, and bandwidth constraints of future consumer devices

  6. Formulation of new ML and data analysis approaches that harness always on device technology

Minimum Qualifications:

  1. Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of computer vision, machine learning or related field

  2. 2+ years experience with statistical analysis of data and mathematical modeling

  3. 2+ years experience with developing machine learning, Bayesian filtering, information theory, 3D geometry, optimization, system building, and physics based simulation

  4. 3+ years experience in C++, Java or other related language such as Torch and TensorFlow

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

  6. Must be available to start employment on or after September 1, 2019

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

Preferred Qualifications:

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

  2. 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, SIGGRAPH, NIPS, etc.

Industry: Internet

Equal Opportunity: 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.

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