Meta AR/VR Job | Research Scientist Intern, Platform Aware Model Optimization (PhD)
Job（岗位）: Research Scientist Intern, Platform Aware Model Optimization (PhD)
Type（岗位类型）: 3D Software Engineering | Computer Vision, Engineering, Machine Learning, Research
Citys（岗位城市）: Pittsburgh, PA
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
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.
The Facebook Reality Labs (FRL) Research Team 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.
Our team in FRL Pittsburgh research group is looking for exceptional interns to help us explore hardware aware model optimization to pave the way for deploying real-time and low latency telepresence in virtual reality where you can be with anyone, anywhere, at anytime. Our work covers both short term verification with off-the-shelf SoC platform and long term research on custom accelerators. In our intern project, you will dive deeply into software and hardware codesign for model optimization. If you have expertise in neural network quantization and architecture optimization (for both NN model and hardware accelerator) with a solid background in computer architecture and machine learning, we expect you will find the work here highly intriguing.
Come join us as we make photorealistic telepresence in VR happen!
Qualifications（岗位要求）
Currently has, or is in the process of obtaining, a PhD in Computer Science & Engineering, Machine Learning, Electronics, Physics, or related field.
Interpersonal skills: cross-group and cross-culture collaboration.
2+ years of experience with model quantization/NAS.
2+ years of experience with applications of image processing, computer vision, or computer graphics.
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Description（岗位职责）
Investigate real-time model optimization methods for SoC and Neural Network accelerators.
Research new quantization/compression methods for VAE based neural networks architectures.
Collaborate with team on verification of proposed methods.
Research in accelerating distributed training of VAE.
Additional Requirements（额外要求）
Intent to return to degree-program after the completion of the internship.
2+ years of experience of neural network optimization, computer vision/graphic, SoC run-time optimization, Compiler design, distributed computing, Numerical optimization, and Pytorch.
Proven track record of achieving significant results as demonstrated by patents and first-authored publications at leading workshops or conferences such as CVPR, SIGGRAPH, NeurIPS, ICML, SysML, ICML, ICLR, DAC, or similar.
Demonstrated engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub).
