Meta AR/VR Job | Research Scientist Intern, ML/Graphics & Physics-Simulation (PhD)

Job(岗位): Research Scientist Intern, ML/Graphics & Physics-Simulation (PhD)

Type(岗位类型): Computer Vision | Research

Citys(岗位城市): Redmond, WA

Date(发布日期): 2022-12-9


Meta Reality Labs (RL) is committed to doing its part by developing technology and shipping the products that are necessary to make AR/VR compelling, pervasive and universal. As a PhD intern at RL, you will be researching and developing, state-of-the-art, physics-inspired, machine learning technologies. The ideal candidate is pursuing a PhD with a strong background in computational mechanics, machine learning and design optimization. You should be able to take a real-world problem and develop both physics-based, simulation models and physics-inspired, machine learning methods with a goal towards design optimization. The candidate should also excel at working in a dynamic cross-functional environment with great communication skills.

Our internships are twelve (12) to sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.


Currently in the process of obtaining a Ph.D. degree in the field of Computer Science, Machine Learning, Computer Vision/Graphics, Computational Physics/Mechanics/Aerospace or similar field

3+ years of experience, including PhD research, working in machine learning, graphics, computer vision, and any combination of: finite element methods, computational mechanics, advanced optimization techniques

Experience with commercial finite-element simulation tools (ANSYS, Abaqus, etc) or open-source packages

Experience with mesh processing and topological optimization involving complex geometries

Experience with C++ or Python

Hands-on experience with open-source deep-learning frameworks such as PyTorch, TensorFlow, MxNet

Interpersonal experience: cross-group and cross-culture collaboration

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


Advance the state-of-the-art for physics-inspired, machine learning models

Develop learning and optimization frameworks to explore the industrial design space for AR/VR systems

Build advanced physics-based, biomechanical simulations involving complex geometries

Effectively collaborate across cross-functional teams to define functional requirements and drive deployment

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 working on novel machine-learning problems exhibited in the form of publications in top-tier conferences/journals such as NeurIPS, CVPR, SIGGRAPH and similar venues

Intent to return to degree-program after the completion of the internship

Research experience in physics-informed neural networks

Experience with biomechanical modeling & simulations

Experience with automation, robotics, sensors, 3D computer vision