
1001 - 5000 employees
Founded 2013
☁️ SaaS
🤝 B2B
SaaS • B2B • Hospitality
Toast is a technology company that specializes in providing integrated software and hardware solutions for the restaurant industry. Their offerings include a comprehensive restaurant management platform that features point of sale (POS) systems, payment processing, online ordering, payroll management, and various operational tools designed to streamline restaurant operations. Toast's platform is tailored to meet the needs of diverse restaurant types, including quick service, full service, fast casual, fine dining, cafes, and food trucks. They also provide resources like industry insights and educational materials to support restaurant success.
🕒 May 23
🏄 California – Remote
💵 $180k - $368k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2013
☁️ SaaS
🤝 B2B
SaaS • B2B • Hospitality
Toast is a technology company that specializes in providing integrated software and hardware solutions for the restaurant industry. Their offerings include a comprehensive restaurant management platform that features point of sale (POS) systems, payment processing, online ordering, payroll management, and various operational tools designed to streamline restaurant operations. Toast's platform is tailored to meet the needs of diverse restaurant types, including quick service, full service, fast casual, fine dining, cafes, and food trucks. They also provide resources like industry insights and educational materials to support restaurant success.
• Spend the majority of your time "hands-on-keyboard," architecting and coding high-performance backend services and ML pipelines • Build and prototype new internal products from scratch that leverage LLMs and Agentic AI • Design and implement ML models that provide real-time recommendations • Develop the backend between custom quoting engine, Salesforce, and internal data lakes • Act as a domain expert to solve complex synchronization and architectural challenges • Drive engineering excellence through code reviews and automated testing • Deliver significant core capabilities that have broad impact • Anticipate shifts in product needs and build flexible backend systems • Ensure the reliability of GTM tools
• Extensive experience in backend languages (Java, Go, Python) • Practical, hands-on experience deploying Machine Learning models and building with LLMs • Experience building or deeply integrating with complex enterprise software • Ability to design event-driven architectures and manage data flow • Bachelor’s or Master’s degree in Computer Science, or a related technical field
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
Apply Now🕒 May 17
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