Staff Machine Learning Engineer - Vision AI
Toast · Remote, US
About this role
**Staff Machine Learning Engineer — Vision AI (Toast)** Toast builds technology to help restaurants and local businesses succeed in a digital world—operating more efficiently, increasing sales, engaging customers, and keeping employees happy. We’re investing in **Vision AI** to help operators see more of what’s happening in their restaurants and act on it. ## Responsibilities - Build ML systems and drive model choices, including selecting and integrating vision models (including vision-language models) and creating inference pipelines, evaluation, and production monitoring. - Contribute to architecture and design—shape technical decisions and build for today while planning for where we’re headed. - Collaborate across teams with product, design, and other engineering groups on integrations and dependencies. - Work AI-forward: use AI coding tools and agent harnesses as part of how you design, build, test, and ship. - Raise the bar on quality: set high standards for testing, reliability, security, and privacy in areas you own; support team growth through code reviews and collaboration. ## Requirements - **8+ years** building and shipping models in production. - Strong backend engineering experience (e.g., **Python, Java, Kotlin, Go, or Scala**). - Comfort integrating AI/ML models (including LLM and vision-language model APIs) into production features. - Strong understanding of data modeling, query languages, and online/offline data patterns for ML systems. - Deep proficiency in distributed systems concepts (consistency, latency, throughput, fault tolerance, observability). - Pragmatic engineering judgment—solve simply, avoid over-engineering, and know when to invest more. - Zero-to-one experience taking ambiguous ideas from prototype to production with real customers. - AI-forward ways of working (daily use of AI coding assistants and agent harnesses such as Claude Code or Cursor). - Collaboration and communication—work closely with product/design/engineering and explain tradeoffs clearly. - Bachelor’s degree in Computer Science (or related) or equivalent practical experience. ## Notes - **Hybrid work** model. - Toast uses AI tools in hiring to support recruiters/interviewers (note-taking, summarization, documentation). Hiring decisions are made by people. - Accessibility accommodations are available: **candidateaccommodations@toasttab.com**. **Apply today!**
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