Research Scientist Manager - ML Modeling & Applied Research

Reality Labs at Meta is seeking Research Scientist Manager with experience in machine learning 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 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.

8+ years of experience working autonomously to design, execute, interpret, and present ML research outcomes 4+ years of experience as technical lead for a project of 4 or more individuals 2+ years of direct management experience, managing Researchers or Engineers 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 bringing machine learning-based products from research to production Experience with interdisciplinary and/or cross-functional collaboration 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 Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields Experience with real-time signal processing and/or human-computer interaction Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly 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) Experience with scientific communication tools (Jupyter, Matplotlib)

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