ML Engineer

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 with fine-tuning and RL.

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