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San Francisco$250k - $400kFull-timePosted 3mo ago

About the role

ML engineer role focused on building a scalable voice interface, prototyping features, and enabling <500ms LLM inference for millions of requests with personalization through fine-tuning and RL.

Responsibilities

  • Prototyping and designing new features of the voice interface
  • Building infrastructure to handle <500ms LLM inference for millions of requests worldwide
  • Scaling personalization of speech models and LLMs with fine-tuning and RL

Qualifications

  • Previous founding or startup experience
  • Experience optimizing ML inference or engineering systems for research teams
  • Fluency in Python and LLM development
  • Attention to detail and eagerness to learn
  • Aptitude and clarity of thought
  • Creativity, excellence in engineering, and code velocity

Skills

Required:ML engineering
Last updated Oct 4, 2026. Interested? Apply on the company site.

About Wispr Flow

Wispr Flow | Effortless Voice Dictation

Flow makes writing quick and clear with seamless voice dictation. It is the fastest, smartest way to type with your voice.

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