Research Scientist, Neuromotor Interfaces
Burlingame, CA | New York City
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.Research Scientist, Neuromotor Interfaces Responsibilities
- Plan and execute cutting-edge applied research to advance neuromotor interface capabilities.
- Design experiments to collect neuromotor and interaction data and evaluate human and model performance.
- 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.
- Autonomously set technical and research direction.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Currently has a PhD, in systems neuroscience, computational neuroscience, machine learning, biophysics, electrical engineering, computer science, statistics, or related fields.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem).
- Proficiency with quantitative methods (mathematics, statistics) and experience acquiring new technical knowledge and skills rapidly.
- 2+ years of experience after PhD working autonomously to design, execute, interpret, and present research studies.
- Experience in the analysis and modeling of high dimensional time series, such as neural signals, other physiological signals, audio recordings, robotic sensory signals, financial time series, video, or other sensor modalities.
- Experience in deep learning or probabilistic graphical models. Fluency with libraries for deep learning and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn).
- Experience with scientific communication tools (jupyter, matplotlib).
- Experience in software engineering in industry.
- Experience bringing machine learning-based products from research to production.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Deep Learning Engineering Jupyter Machine Learning Mathematics Matplotlib PhD Physics PyTorch Research Scikit-learn SciPy Statistics TensorFlow VR
Perks/benefits: Career development Equity Flex vacation Health care Salary bonus
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