Meta AR/VR Job | Research Scientist – Adaptive Experimentation
Job（岗位）: Research Scientist – Adaptive Experimentation
Type（岗位类型）: Hardware
Citys（岗位城市）: Sunnyvale, CA | Redmond, WA | Menlo Park, CA
Date（发布日期）: 2022-2-22
Summary（岗位介绍）
At Reality Labs, our goal is to make world-class consumer virtual, augmented, and mixed reality experiences. Come work alongside world leading scientists and engineers to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction a reality and change the world.
We are currently seeking innovative scientists who have experience developing high performance optimization algorithms for advanced optical and photonic device design. This is a full-time position and requires an advanced degree in mathematics, physics, or similar, and a strong background in optimization algorithms and innovation as well as proficient software development skills. Successful candidates must be comfortable working in a dynamic cross-functional team.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
PhD in physics, mechanical engineering, statistics, or similar field.
3+ years of experience with developing experimentation methodologies, such as Bayesian optimization, active learning, or DoE.
Proficiency in programming languages such as Python, C/C++, R, or Go.
Experience of demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects.
Experience working in a cross-functional and cross-cultural collaboration environment.
Description（岗位职责）
Participate as a key member on novel algorithmic breakthroughs in sample-efficient optimization algorithms to enable better optical and photonic design for AR/VR hardware.
Develop optimization algorithms to increase manufacturing yield and lower cost of advanced optical and photonic devices.
Develop novel optimization algorithms that can scale to optimization tasks performed in a distributed compute environment.
Contribute to strategically planning on new algorithms and advanced optimization capabilities for future products and technologies.
Additional Requirements（额外要求）
Experience with distributed systems and parallel computing
Experience with developing and using robust design techniques to improve manufacturing yield and lower cost of hardware products
Experience with geometric optics, physical optics, diffractive optics, or micro-optics
Experience with machine learning and deep learning
