ML Scientist

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This experience is provided by Wispr Flow. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Wispr Flow is making it effortless to interact with your devices as though you were talking to a close friend. Voice is the most natural and 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 the 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.

As an ML scientist 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 < 500 ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs.

You will be primarily responsible for ML personalization, training speech models, and using fine‑tuning and RL techniques to improve LLMs.

• 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

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

Compensation Range: $185K - $280K

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