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Job Listings : Wispr AI - ML Research Engineer

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Job Listings : Wispr AI - ML Research Engineer

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 machine learning research engineer at Wispr, your primary responsibilities will be to work closely with neuroscientists to craft algorithms to work with surface electromyography (EMG) and other neural signals. You will be working on implementing language models (generative or otherwise), processing time series signals, and building the data pipelines to rapidly iterate over experiments.  

Come join us and make magic happen.

Core Job Responsibilities

  • Collaborate with neuroscientists, machine learning experts and user researchers to unlock and perfect new capabilities to build interactions upon
  • Write clean and performant code to train ML models, focusing on throughput, stability, and ML metrics
  • Design experiments and implement models that process time signals in addition to priors from language models to decode speech
  • Rapidly iterate and extend (novel) processing and analysis algorithms
  • Implement data collection frameworks, curate datasets, perform pre-processing/feature extraction, and build machine learning models for EMG decoding
  • Architect and deploy an infrastructure for researchers to iterate with the required data models and APIs
  • Setup testing, best engineering practices for the research engineering team

Required Knowledge/Skills, Education, And Experience

  • MS or BS in computer science, machine learning or related engineering field
  • 3+ years hands-on relevant engineering experience in machine learning, signal processing
  • Experience setting up data processing / ML pipelines and infrastructure, ideally for a research-based environment.
  • Proficient in Python and machine learning libraries (SciKit-learn, SciPy, NumPy)
  • Software engineering best practices, including comfort with Linux environments and git version control
  • Experience with deep learning frameworks (PyTorch, Tensorflow)
  • Experience with cloud computing (AWS, Google Cloud)
  • Organized, self-directed, efficient and able to manage priorities and expectations
  • Experience working collaboratively with teams: we believe in working collectively towards a common goal
  • Nice to have Knowledge/Skills, Education, And Experience
  • PhD in computer science, machine learning or related engineering field
  • Experience working with bio-signals (EMG, EEG, EKG, etc), medical devices, or real world noisy data
  • Experience working with speech recognition, audio data, generative models, or NLP
  • Experience in linguistics or speech phonology

At Wispr, we believe that true innovation starts from people from diverse backgrounds coming together, bridging ideas, and collaborating. Wispr is proud to be an Equal Employment Opportunity employer and is committed to providing an environment of mutual respect where employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law.

Please apply here: Machine Learning Research Engineer