Reality Labs at Meta is seeking to advance pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs, to build a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively with single motor neuron resolution.
Requirements
- 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
- Experience with interdisciplinary collaboration
- 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 and/or human-computer interaction
- Experience with large scale cluster computing for machine learning modeling
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
Other
- 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
- 8+ years of experience in designing, executing, interpreting, and presenting research studies
- 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
