Meta AR/VR Job | Research Scientist, Machine Learning/Graphics & Physics Simulation (PhD)
Job（岗位）: Research Scientist, Machine Learning/Graphics & Physics Simulation (PhD)
Type（岗位类型）: Design
Citys（岗位城市）: Redmond, WA
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
The Facebook Reality Labs is committed to doing its part by developing technology and shipping the products that are necessary to make AR/VR compelling, pervasive and universal. We are currently seeking innovative and self-motivated scientists who work at the intersection of physics-simulation and machine-learning for designing complex systems to push the limits of physics-based real-world system modeling. An ideal candidate would come with an advanced knowledge in machine-learning, physics-simulations and be able to take a real-world problem, model it into a physics-informed learning problem, collaborate with cross-functional teams to collect ground-truth and validate the model against the ground-truth. The candidate should excel at working in a dynamic cross-functional environment with great communication skills.
Qualifications（岗位要求）
5+ years of experience, including PhD research, working in machine learning, graphics, computer vision, and any combination of: Finite element modeling and analysis, computational mechanics, computational physics, advanced optimization techniques.
Experience with C++, Python.
Interpersonal skills: 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.
Description（岗位职责）
Develop novel physics-inspired machine-learning models and simulations to explore the vast Industrial Design space available for AR and VR systems.
Model system-design problem in a learning framework and drive the required data-collection, modeling, development, validation and deployment with cross-functional collaborations.
Implement the system learning framework in C++ or Python using/extending the existing deep-learning frameworks such as PyTorch.
Present regularly to large cross-functional teams and communicate progress.
Engage the wider academic community to pursue research in this direction through publications and/or workshop/challenge/tutorial organization top-tier conferences.
Additional Requirements（额外要求）
Experience with Physics-Informed Neural Networks.
Experience with biomechanical and custom physics modeling & simulations.
Experience with automation, robotics, 3D computer vision, mesh/point-cloud processing, 3D deep-learning, sensors.
Hands-on experience with open-source deep-learning frameworks such as PyTorch, TensorFlow, MxNet.
Experience working on novel machine-learning problems exhibited in the form of publications in conferences/journals such as NeurIPS, CVPR, SIGGRAPH and similar venues.
