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Job Listings : Wispr AI - Computational Neuroscientist

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Job Listings : Wispr AI - Computational Neuroscientist

Company : NEA
Post Date : 06/15/2022
Type : Full Time

Wispr is building the future of human-computer interfaces controlled by the peripheral nervous system. We're building a team of world class scientists, engineers, and product designers to make that a reality. We're funded by top tier Silicon Valley investors (NEA and 8VC) and backed by angels including Ben Jones (COO, CTRL-Labs), Jose Carmena (Berkeley professor; co-CEO iota), David Gilboa (CEO, Warby Parker), and Will Ahmed (CEO, Whoop). Our founders are Stanford alums and have previously sold a company and run a team at a deep tech startup with over 100M in funding.

We're hiring in SF Bay Area / DC Area / Remote.

As a computational neuroscientist at Wispr, your primary responsibilities will be to design, implement, and improve algorithms to process surface electromyography (EMG) and other neural signals. You will lead experimental design, data collection, and infrastructure development to rapidly iterate on experiments.

Come join us and make magic happen.

Core Job Responsibilities

  • Design and run research/engineering experiments for decoding of speech from electrophysiological signals, such as EMG
  • Rapidly iterate and extend (novel) processing and analysis algorithms
  • Leverage domain knowledge in speech physiology, motor unit action potential decoding, etc., to build scientifically grounded machine learning models
  • Implement data collection frameworks, curate datasets, perform pre-processing/feature extraction, and build machine learning models for EMG decoding
  • Work with electrical engineers and mechanical engineers to propose system design improvements, including custom electrode and filter development
  • In addition to core R&D tasks, develop independent ideas for solving immersive communication and extending non-invasive neural interfaces

Required Knowledge/Skills, Education, And Experience

  • PhD in neuroscience, biomedical engineering, electrical engineering, machine learning, or a closely related discipline
  • 3+ years work experience with neuro-physiological time series data
  • Experience in electrophysiology: EEG, EMG, or intracortical BCI (analysis techniques, de-noising set ups, using multiple data acquisition systems)
  • Published academic research in peer-reviewed journals
  • Ability to produce well-written technical reports and documentation
  • Software engineering skills for machine learning experiments, including experience in Python and packages such as PyTorch or TensorFlow
  • Software engineering best practices, including comfort with Linux environments and git version control
  • Experience working collaboratively with teams
  • Nice to have Knowledge/Skills, Education, And Experience
  • Expertise in speech physiology or speech decoding
  • Prior work in motor unit action potential decoding from EMG
  • Experience with consumer wearables

Please apply here: Computational Neuroscientist