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NextSense

EEG-based brain health monitoring with personalization

Senior Machine Learning/Research Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeMountain View, CA, USANo salary listedRemote

About the Job

Requirements

  • A Master's degree in computational neuroscience, systems neuroscience, bioengineering, bioinformatics, computer science, electrical engineering, or related fields/experience.
  • Strong Python programming skills demonstrated through work experience or personal projects.
  • Strong technical skills in biosignal time-series analysis, including signal processing, machine learning, deep learning, advanced statistics, and data visualization.
  • Excellent written, verbal, interpersonal communication, and presentation skills.
  • Eligibility to legally work in the United States without visa sponsorship or transfer requirements now or in the future.

Responsibilities

  • Design, execute, and present research to advance biosensing earbud technology.
  • Apply signal processing, machine learning, and statistical analysis to decode biosignals.
  • Develop algorithms for automated detection of healthy and pathological neural signatures.
  • Contribute to implementing data analysis pipelines for large-scale physiological signals from clinical studies.
  • Collect, analyze, and interpret data for pilot and clinical studies.
  • Collaborate with engineering and product teams to integrate research into prototypes and products.
  • Assist in writing peer-reviewed publications and conference abstracts.
  • Build tools, libraries, or processes used throughout the company or in the open-source community.

Desired Qualifications

  • Five or more years of industry experience.
  • Comfort conducting conventional and mobile electroencephalography recordings, or willingness to learn.
  • Experience with cloud-based platforms, preferably Google Cloud Platform.
  • A productive publishing record.
  • Experience with version control, such as Git.

About the Company

NextSense

EEG-based brain health monitoring with personalization

NextSense uses real-world brain data to help people manage brain health by collecting long-term EEG signals with comfortable biosensing earbuds that can be worn day and night. The system analyzes EEG data alongside environmental and behavioral patterns to identify triggers and provide real-time, personalized treatment and medication recommendations, delivered through a subscription that includes study designs, cognitive assessments, self-reports, and 24/7 monitoring. It stands out by offering continuous, real-world monitoring with consumer-style earbuds to link brain activity to daily context, rather than relying only on clinic visits or short tests. Its goal is to improve brain health outcomes by giving individuals and clinicians practical, data-driven tools that translate long-term brain data into personalized actions.

Company size
11-50
Company stage
Series A
Total funding
$30.7M
Headquarters
Mountain View, CA
Founded
2020

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