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About Wispr

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.

About the Role

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.

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.