toast · Remote, US
Skills: Python, Java, Kotlin
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast powers restaurants of every size, from neighborhood favorites to the largest multi-unit brands in the industry. We're investing in Vision AI to help operators see more of what's happening in their restaurants and act on it, so they can run more efficiently, provide better service, and become even more profitable. We're looking for a Staff Machine Learning Engineer, Vision AI to build the platform and the products that bring it to restaurant operators. You'll own major parts of the system end to end, from the services that process video to the customer-facing features operators use every day, and you'll have real influence on how Vision AI is built. A day in the life (Responsibilities) Build ML systems and drive model choices. Select and integrate vision models, including vision-language models, and build the ML systems around them, such as inference pipelines, evaluation, and monitoring of model performance in production. Contribute to architecture and design. Help shape technical decisions with the team, building what's right for today while keeping a clear path to where we're headed. Collaborate across teams. Partner with product, design, and teams across Toast on integrations and dependencies when the work calls for it. Work AI-forward. Use AI coding tools and agent harnesses as a core part of how you design, build, test, and ship, and share workflows that make the team faster. Raise the bar. Set a high standard for quality, testing, reliability, security, and privacy in the areas you own, and help other engineers grow through code reviews and collaboration. What you'll need to thrive (Requirements) Solid engineering experience. 8+ years building and shipping models in production. Mastery of a modern backend language such as Python, Java, Kotlin, Go, or Scala. Comfort with…
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