Design, execute, and present cutting-edge research to advance our 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 the implementation of 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 the latest research into prototypes and products.
Assist in writing peer-reviewed publications and conference abstracts.
Engage in building tools, libraries, or processes that are used throughout the company or in the open-source community.

Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics, computer science, electrical engineering, or related fields/experience
Strong Python programming skills; ability to demonstrate mastery through work experience or personal projects
Strong technical skills associated with biosignal time-series analysis, including signal processing, machine/deep learning, advanced statistics, and data visualization
Excellent written, verbal, interpersonal communication, and presentation skills
Passionate about neurotechnologies and their potential to benefit society
5+ years industry experience (Preferred)
Comfortable conducting conventional and mobile EEG recordings or willing to learn (Preferred)
Experience with cloud-based platforms (GCP preferred) (Preferred)
Ability to strive in a fast-paced startup environment (Preferred)
Demonstrated productive publishing record (Preferred)
Experience with version control (e.g., Git) (Preferred)

Senior ML, Research Scientist

Key skills