ML Engineer

Wispr Flow; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Wispr Flow in San Francisco seeks a Machine Learning Engineer to develop a transformative voice interface designed for a billion users. The role involves prototyping and designing novel features, optimizing LLM inference, and enhancing speech model personalization.

Ideal candidates should have startup experience, fluency in Python, and a strong attention to detail. Join a team focused on innovation and impactful user interactions.

Qualifications

• Experience in founding or working at startups.
• Eagerness to learn and adapt.
• Clarity of thought and communication.

Responsibilities

• Build features for a habit-forming voice interface.
• Handle LLM inference for millions of requests.
• Scale personalization of speech models.

Skills

Fluency in Python

Experience optimizing ML inference

Attention to detail

Creativity

Job description

About Wispr

Wispr Flow is making it as effortless to interact with your devices as talking to a close friend.

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.

In 2026, in addition to dictation, we're focused on building native actions — an agentic framework that understands you, and works reliably.

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.

We're grown our revenue +150% every quarter for the last 4 quarters, and have raised $81M from Tier 1 VC firms and other well-known angels.

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.