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Facebook Research Scientist Neural Interfaces PhD United States, California 594404614
17.04.2025
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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 has 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.
- 1 + years of postdoctoral experience 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.
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).
About Meta
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about at Meta.
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