Research Scientist, Machine Learning for Wearables

We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user’s intent, and creating novel interaction techniques and user experiences. Help improve the speed and accuracy of neuromotor interfaces by reducing latency between user intent and action.

Responsibilities

Research and development of neural networks, machine learning, or other computational models by leveraging one or more of EMG, IMU, and/or PPG signals and other relevant data Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets Help transition and deliver our work from research into a product Adapt standard machine learning methods to best leverage modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)

Qualifications

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 Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. A degree must be completed prior to joining Meta Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Mathematics, or a relevant technical field Programming experience in Python and hands-on experience with frameworks such as PyTorch Experience with developing machine learning models at scale Experience with architectural patterns of large-scale software applications Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) Experience bringing machine learning-based products from research to production Experience in software engineering in the industry