About Wispr
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
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
