Research Scientist - CTRL Labs

Summary

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.

Responsibilities

• Research and develop Deep Learning or other computational models
• Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets
• Set technical direction for a project of 2-3 researchers and engineers
• Help transition and deliver our work from research into product
• Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics
• Experience with developing machine learning models at scale from inception to business impact
• Programming experience in Python and hands‑on experience with frameworks such as Py Torch
• Exposure to 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 employmentPreferred Qualifications
• 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)
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Git Hub)
• Experience bringing machine learning-based products from research to productionPublic Compensation

$184,000/year to $257,000/year + benefits

Industry

Internet

Equal Opportunity

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