Research Scientist, Neural Interfaces (PhD)

Meta Platforms, Inc.•New York, NY

29d

About The Position

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds. 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 us unleash human potential by removing the bottlenecks between user intent and action.

Requirements

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 in the process of obtaining a PhD in the field of machine learning, computer science, robotics, computational neuroscience, signal processing, speech and language technologies, or related fields OR 2 years experience in relevant field
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem)
Experience with quantitative methods (mathematics, statistics) and experience acquiring new technical knowledge and skills rapidly
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Nice To Haves

Experience bringing machine learning-based products from research to production
Experience in the analysis and modeling of high dimensional time series, such as neural signals, other physiological signals, audio recordings, robotic sensory signals, financial time series, video, or other sensor modalities
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP)
PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, or related fields

Responsibilities

Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets
Help transition algorithms and metrics from research into production
Analyze and develop metrics for deep learning models and experimental datasets
Design experiments, involving human participants, to assess model performance

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