Research Scientist, Neural Interfaces for Wearables

The Wearables team in Reality Labs at Meta is seeking Research Scientists with experience in applied AI 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). This technology is a main pillar for interaction across our portfolio of wearable devices. 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 unlock human potential by removing the bottleneck 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
• PhD degree in Computer Science, Electrical Engineering, Neuroscience, or a related field
• Experience developing machine learning models at scale from inception to production
• Programming experience in Python and hands-on experience with frameworks such as PyTorch
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• 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)
• Experience bringing machine learning-based products from research to production

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