Meta AR/VR Job | Research Scientist Intern, Algorithms (PhD)
Job（岗位）: Research Scientist Intern, Algorithms (PhD)
Type（岗位类型）: Artificial Intelligence | Computer Vision, Engineering, Machine Learning, Research
Citys（岗位城市）: Burlingame, CA
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
At Reality Labs, our goal is to invent the user interface technologies that will drive the next generation of augmented-reality experiences. Our aim is to unleash human potential by erasing the bottlenecks between intent and action. The key to this work is in the development of robust, adaptive algorithms and systems that can seamlessly power the decoding of wearable biometrics. As a Research Intern, you will focus on developing novel, robust, and sensor processing algorithms for wrist-wearables. Your work will involve novel techniques around self-supervised learning, robust decoding of biometric signals, confounder mitigations, and state-estimation/sensor-fusion techniques for stringing the entire system together.
Our research lies at the intersection of signal processing, machine learning, and human-computer interaction. You will work with world-leading collaborators and mentors in the AR/VR, machine learning, neuroscience, and HCI fields.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining, a PhD in machine learning, state-estimation, robotics, or similar.
3+ years of experience with scientific programming languages such as Python, Pytorch and/or C++.
Proven track record in the design of novel and fieldable algorithms that have been deployed in the real-world.
Interpersonal skills: cross-group collaboration and cross-culture collaboration.
Experience with self-supervised learning.
Experience with state estimation or sensor-fusion techniques.
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）
Plan and execute cutting-edge research and design of novel adaptive algorithms for a variety of different sensory models.
This includes classification, fusion, and confounder mitigation algorithms and systems that are robust and yield seamless interactions.
Moreover, algorithms must lend themselves towards being sample efficient, easily tunable, and adaptive enough to work across multiple people and multiple uses with minimal re-training.
Additional Requirements（额外要求）
Familiarity with AR/VR technologies and literature.
Experience with biometric modelling for real-time interactive scenarios (e.g., gesture recognition, task inference).
Experience with machine learning (e.g., time-series modeling, deep learning, RL, one-shot, few-shot learning).
Intent to return to degree-program after the completion of the internship/co-op.
