Reality Labs at Meta is seeking to advance pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs, by building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively with single motor neuron resolution.
Requirements
- 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 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
- Experience with real-time signal processing and/or human-computer interaction
- 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)
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
- Collaborate with engineering and Human-Computer Interactions (HCI) 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
- 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
- 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
