Research Scientist, Neural Interfaces (PhD)

Meta is seeking a Research Scientist to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we’re building a practical neural interface drawing on the rich motor neuron signals that can be measured non-invasively with neuron-level resolution. Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, perceptual psychophysics, and human-computer interaction. We’re looking for people who want to shape the future of this technology and are excited about joining our collaborative research team.Research Scientist, Neural Interfaces (PhD) 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 capabilities.
• Plan and execute cutting-edge applied research to advance neural interface capabilities. Collaborate with engineering and HCI teams to translate fundamental scientific knowledge into new technology.
• 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.
• Collaborate with engineering and Human-Computer Interactions (HCI) teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Currently in the process of obtaining a PhD in the field of deep learning, artificial intelligence, machine learning, computer science, robotics, 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. Scikit-learn, PyTorch, TensorFlow)
• Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly
• Experience working autonomously to design, execute, interpret, and present research studies
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• 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 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

Preferred Qualifications

• Experience with cross-domain and cross collaboration
• Experience in the analysis and modeling of high dimensional time series, such as neural signals, multi-channel audio recordings, robotic sensory signals, financial time series, video, or other sensor modalities
• Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration. Experience in signal processing and familiarity with real-time
• Experience in signal processing and familiarity with real-time signals
• Experience with large scale cluster computing for machine learning modelling
• First-authored publications at peer-reviewed conferences and journals
• Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond