Machine Learning Research Scientist - IC7 - Neuromotor Interfaces

Meta Platforms, Inc.•New York, NY

35d

About The Position

Reality Labs at Meta is seeking a Research Scientist with experience in 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 neural interface drawing on the rich neuromotor signals that can be measured non-invasively with single motor neuron resolution. This technology will become one of the main pillars for interaction with the virtual and augmented world. We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals (i.e., electromyography or EMG), 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. EMG signals are similar in many ways to other neural signals and audio signals and can be analyzed using many of the same approaches. For example, the task of transcribing characters typed on a keyboard from wrist-based EMG is closely analogous to that of automatic speech recognition. We're looking for people who want to shape the future of this technology and explore this exciting new territory with us.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in one of the following fields: artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields
Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas)
Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly

Nice To Haves

8+ years of experience in designing, executing, interpreting, and presenting ML research
Demonstrated experience of identifying new opportunities for the larger organization & influencing the appropriate people
4+ years of experience as technical lead for a project of 4 or more individuals
Experience bringing machine learning-based products from research to production
Experience with interdisciplinary collaboration
Significant experience in the analysis and modeling of high dimensional time series, such as neural signals, multi-channel audio recordings, multi-modal/multi-sensor signals, robotic sensory signals, financial time series, video, or other sensor modalities
Experience with speech enhancement, speech recognition, speech synthesis, source separation, audio event detection and classification, language modeling, or related topics
Experience with real-time signal processing
Experience with large scale cluster computing for machine learning modeling
Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration
Experience in software engineering in industry
Experience with scientific communication tools (Jupyter, Matplotlib)

Responsibilities

Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression, etc.) to advance neuromotor interface products
Collaborate with engineering and research teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences
Use quantitative research methods to define, iterate upon and advance key areas of our research agenda
Develop research-grade code for deployment in research prototypes
Work across organizational boundaries to solve our biggest problems

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