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）: Research
Citys（岗位城市）: Redmond, WA
Date（发布日期）: 2021-12-24
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.
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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.
