Head of Machine Learning

Wispr FlowSan Francisco, CA
4d

About The Position

As a Head of ML at Wispr, you'll lead the ML research and engineering teams for development of our next generation speech recognition and voice-to-action models. We are training our next generation of multimodal speech-LLMs to perform contextual speech recognition: using auxiliary signals such as speaker history, current screen context, and more to break the current performance boundary of ASR models. In addition, you'll spearhead work on RL-based personalization of LLMs for post-processing and interpreting user speech. You will be responsible for technically leading the direction of the ML team, being directly hands on involved in aspects of training and serving of our models, and for hiring and growing the team. See here for specific descriptions of the research problems and approaches at Wispr: https://wisprflow.ai/post/speech-recognition-challenges

Requirements

  • Opinionated takes on how to make quality breakthroughs in speech recognition. We want to have spirited, lively debate on how to create the frontier of voice AI, and are looking for someone who has the right instincts for setting this direction.
  • Experience leading teams of researchers and engineers - ideally of ten or more people
  • PhD in machine learning or related field (neuroscience, EE, etc)
  • Strong publication track record at top conferences (ICML, NeurIPS, ICLR, ICASSP)
  • Fluency in Python and LLM development
  • Attention to detail and eagerness to learn
  • Aptitude and clarity of thought
  • Creativity in R&D, excellence in engineering, and code velocity

Responsibilities

  • Technically leading the direction of the ML team
  • Being directly hands on involved in aspects of training and serving of our models
  • Hiring and growing the team

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What This Job Offers

Job Type

Full-time

Career Level

Executive

Education Level

Ph.D. or professional degree

Number of Employees

11-50 employees

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