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