Job Description

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 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.

Responsibilities

• 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.
  

Minimum Qualification

• Currently has, or in the process of obtaining, a PhD degree in the field of Computer Science, Machine Learning, Computer Vision/Graphics, Computational Physics/Mechanics/Aerospace or a similar field.
• 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.
• Hands-on experience with open-source deep-learning frameworks such as PyTorch, TensorFlow, MxNet.
• Experience with C++, Python.
• Interpersonal skills: cross-group and cross-culture collaboration.
• Experience working on novel machine-learning problems exhibited in the form of publications in conferences/journals such as NeurIPS, CVPR, SIGGRAPH and similar venues.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  

Preferred Qualification

• 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.
  

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.