Staff ML Engineer - Voice AI

Toast is revolutionizing the restaurant industry with its comprehensive platform, and we're seeking a Staff ML Engineer to lead our Voice AI initiatives. This is an opportunity to shape the future of restaurant technology by bringing cutting-edge voice capabilities to our platform.

As a Staff ML Engineer focusing on Voice AI, you'll be at the forefront of implementing voice interaction capabilities across Toast's product lines, including phone ordering, Toast Local app, drive-thru, kiosk, and menu recommendations. You'll work with a talented team of engineers, data scientists, and product managers to create innovative solutions that enhance the restaurant experience.

Your role will involve designing and implementing sophisticated voice AI systems, optimizing models for real-world performance, and mentoring other engineers. You'll be responsible for creating the infrastructure that enables our data scientists and product engineers to build, release, and monitor models at scale.

The ideal candidate brings deep expertise in voice AI technologies, including automatic speech recognition (ASR), text-to-speech (TTS), and speech-to-speech (S2S) systems. You should have extensive experience with modern voice AI toolkits and a proven track record of shipping voice AI solutions in production at scale.

At Toast, we offer competitive compensation ($155,000-$248,000) and a comprehensive benefits package including medical, dental, vision insurance, 401k, and equity. We embrace a hybrid work model and foster a culture of innovation and collaboration.

This is more than just a technical role – it's an opportunity to transform how restaurants operate and serve their customers. You'll be working on challenges that directly impact thousands of restaurants and millions of users, making their experiences more efficient and enjoyable through the power of voice AI.

Join us in building the next generation of restaurant technology, where your expertise in voice AI will help shape the future of the industry. We're looking for someone who can not only architect and implement sophisticated voice systems but also mentor others and help build a culture of technical excellence.