ML Scientist

Wispr is building Jarvis, starting with effortless voice dictation. Our mission is to make interacting with your devices as effortless as talking to a close friend. We believe voice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.

Our voice dictation product, Flow, solves the biggest use case for technology: letting people communicate with others and AI. Flow is the first consumer voice dictation platform that people use more than their keyboards.

We are a team of AI researchers, designers, growth experts, and engineers who step away from the status quo to rethink human-computer interaction. We like working with people who are high agency, open communicators, user obsessed, and detail oriented. We enjoy spirited debate, truth seeking, and impact. We have averaged 50% month over month growth in 2025, and have raised over $56M from Menlo Ventures, NEA, 8VC, and others.

As a ML engineer at Wispr, you’ll play a crucial role in building the first capable, habit forming voice assistant that scales to a billion users. Members of our technical staff are responsible for prototyping and designing new features of our voice assistant, 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. You'll be primarily responsible for ML personalization, training speech models, and using fine-tuning and RL techniques to improve LLMs.

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