Machine Learning Engineer

About Wispr

Wispr Flow revolutionizes device interaction by making it as natural as conversing with a close friend. It leads the market as the first voice dictation platform preferred over keyboards, offering remarkable context awareness, personalization, and seamless usability across desktop and mobile devices.

Looking ahead to 2026, Wispr aims to expand beyond dictation by developing native actions—an intelligent framework that truly understands users and reliably executes commands.

Our team comprises AI researchers, designers, growth strategists, and engineers dedicated to redefining human-computer interaction. We prioritize highly proactive team members who communicate transparently, obsess over user needs, and maintain an unwavering attention to detail. We thrive on passionate discussions, a commitment to truth, and delivering tangible impact.

We have achieved a revenue growth rate exceeding 150% each quarter over the past year and secured $81 million in funding from Tier 1 venture capitalists and notable angel investors.

Role Overview

As a Machine Learning Engineer at Wispr, you will contribute significantly to creating a scalable and habit-forming voice interface capable of supporting a billion users. Your responsibilities include prototyping and designing innovative voice interface features, building infrastructure to deliver sub-500 millisecond large language model inference for millions of global requests, and advancing the personalization of speech models and LLMs through fine-tuning and reinforcement learning.

Candidate Profile

• Experience working in founding teams or startups
• Background in optimizing ML inference or building engineering systems for research purposes
• Proficient in Python programming and large language model development
• Strong attention to detail and a passion for continuous learning
• Clear and logical thinking ability
• Creative mindset combined with engineering excellence and rapid coding skills

Equal Opportunity and Compensation

We welcome applicants from all backgrounds without discrimination based on legally protected characteristics and provide reasonable accommodations on request.

The compensation for this position ranges from $130,000 to $240,000 annually.