Toast

Machine Learning Engineer II at Toast, focusing on building and deploying scalable ML and agentic AI pipelines, developing APIs, and implementing microservices with a focus on latency, reliability, and performance. The role involves MLOps best practices, model deployment, orchestration, and monitoring, working closely with cross-functional teams to deliver ML-powered products.

Senior Software Engineer on the Voice AI team at Toast, focusing on building and advancing restaurant Voice products. The role involves improving the core Voice AI stack, implementing LLMs and AI inference, and working on low-latency AI, audio processing, and system architecture for large-scale consumer experiences. Requires fullstack web application development experience with backend (Java/Kotlin, Python) and frontend (React) technologies, AWS, Docker, Git, and database design.

Staff Machine Learning Engineer to design and lead the evolution of a unified MLOps platform supporting diverse needs across Toast, ensuring high availability, scalability, and security of ML services. This role involves championing MLOps best practices, leading collaborative efforts between Data Engineering, DevOps, and Product teams, defining technical vision for AI infrastructure, setting standards for observability and incident response for ML systems, and mentoring engineers.