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Wispr Flow is making it as effortless to interact with your devices as talking to a close friend. Voice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.
Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.
Dictation is just our first act. We’re building the interaction layer for your computer — a system that’s capable, understands you, and earns your trust. It will start by writing for you, then move to taking actions, and ultimately anticipate your needs before you ask.
We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.
This year, we've grown our revenue 50% month-over-month and with our latest $30M Series A, this is just the beginning.
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
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Compensation Range: $130K - $240K
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