Research Scientist, AI Research (Phd Student Or Grad)

Facebook Menlo Park , CA 94025

Posted 1 week ago

Facebook Reality Labs (FRL) is the world leader in the design of virtual and augmented reality systems. Come work alongside expert engineers and research scientists to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world.

We are seeking a Research Scientist to support development of state-of-the-art deep learning hardware components optimized for AR/VR systems. The successful candidate will be part of our efforts to architect, design and implement the hardware platforms for this activity and will be part of a team that includes algorithm, user experience, software, firmware and ASIC experts. The ideal candidate will understand the full stack from algorithms and architecture down to hardware accelerator blocks. This is a full-time position based in Menlo Park, CA.

RESPONSIBILITIES

  • Enable new user experiences in AR/VR via innovative applications of deep learning techniques for body tracking, user interface and other use-cases

Develop a system hardware design that includes camera image processing, neural nets and custom compute processing blocks which will surpass state-of-the-art metrics for compute resources, DRAM bandwidth and power consumption

Work with algorithm research teams to map CNN graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance

Support all phases of Silicon SoC development from a deep learning perspective - from early definition on through specification, architecture, layout and production

Work with other groups to produce an FPGA test platform to test, develop and optimize the full system

Contribute to execution of our silicon technology/compute roadmap to make advances in performance, power consumption and form factor

Assess and recommend emerging technologies through partnerships with external suppliers

Employ the scientific method to evaluate performance and to debug, diagnose and drive resolution of cross-disciplinary system issues

Publish and present research at leading AI workshops and conferences

MINIMUM QUALIFICATIONS

  • Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of Machine Learning, Artificial Intelligence, Computer Vision or similar

Available to start employment on or after February 1, 2019

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

Experience in mobile SoC low-power design and architecture methodologies

Hands-on experience in deep learning algorithms and techniques, e.g., convolutional neural networks (CNN), recurrent networks (RNN) and/or related areas

Experience with custom SoC design especially as it relates to integration of hardware IP blocks, on-chip buses, DRAM bandwidth and power constraints

Software design and programming experience in C/C++ for development, debugging, testing and performance analysis

Interpersonal experience: cross-group and cross-culture collaboration

Experience in real-time processing for computer vision and user interaction tasks, high-compute/throughput systems and using simulation and modeling technique to estimate performance and power

PREFERRED QUALIFICATIONS

  • Experience implementing deep neural networks for low-power SoC

Experience with industry trends and technologies for optimizing CNNs to reduce DRAM bandwidth requirement, on-chip storage and compute requirements

Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ISSCC, VLSI Symposium, NIPS, ICML, CVPR, or similar


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