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Active15mo ago

ML Engineer

Wispr Flow·📍 San Francisco, California, United States

Employment

FULL TIME

Work mode

On-site

Experience

Not stated

Salary

$250K – $400K/yr

Pay vs market · Top quarter

This job's pay ($325,000 a year at the midpoint) is higher than about 80% of 58 salary-listed Machine Learning Engineer jobs in San Francisco in the last 12 months; their median is $270,122.

Salary data →

Role overview

Job description

About Wispr Wispr is an AI research and product company building the voice interface for computing. AI can now reason, code, and act. Yet, humans still do the work of the interface. We think that’s backwards. Our first products are Flow, which lets you speak naturally in any application, and Notetaker, which builds context across conversations. We’re building toward an interface that can perceive, understand, and take action with earned trust. That means solving hard problems across models, systems, and product - and caring about the final human experience as deeply as the technology underneath it. We’re a talent-dense team that holds strong opinions, tests them quickly, and builds technology that sparks joy. Our goal is to build the first voice interface used every day by a billion people. About the role As a ML engineer at Wispr, you’ll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs with fine-tuning and RL. What are we looking for? 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 Logistics We sponsor H1B, O1, EB1, L1, STEM OPT, and more. We can't guarantee sponsorship for every role, but if we make you an offer we'll make every reasonable effort, with help from our immigration law firm. We strongly encourage you to apply even if you don't meet every qualification. The strongest candidates we meet rarely do, so don't exclude yourself prematurely. We're rethinking how humans interact with AI, and doing that well demands diversity of perspective and experience. We're committed to a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.

About this listing

  • Source: Wispr Flow's official careers site (via Ashby) · last confirmed on the source 7 Nov 2026
  • Posted 4 Aug 2025

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Role market pulse

How Machine Learning Engineer demand looks in United States

72/100 · rising

Live jobs

321

Posted 30d

209

30d movement

+273.2%

Remote share

32.7%

Salary listed

85%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle &lt;500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs with fine-tuning and RL; 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 Logistics We sponsor H1B, O1, EB1, L1, STEM OPT, and more; We strongly encourage you to apply even if you don't meet every qualification

Department · AI Lab

Hiring company

Wispr Flow

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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