Senior Machine Learning Operations Engineer

About Us Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We act as your personal assistant for healthy living—getting to know your goals, lifestyle, and budget, and recommending and delivering healthy groceries, easy recipes, and essential supplements for you and your family. It’s the easiest way to eat healthy, achieve your goals, save time, and discover new foods. We believe food is the foundation of health, convenience should not mean compromise, and that everyone is unique in how they eat and live. That’s why we’re building a future in which healthy living is both easy and enjoyable. Hungryroot is a distributed team of top talent across 28+ U.S. states. While we have a headquarters in New York City, our remote-first culture emphasizes collaboration, team-building, and flexibility. Expect regular virtual team events, strong ownership and accountability, and an annual company retreat. About the Role We’re hiring a Senior Machine Learning Operations Engineer to join Hungryroot’s Data Science team. Our team owns the production systems that power grocery recommendations and box personalization for Hungryroot customers. Our platform combines Python services, FastAPI APIs running on AWS, Spark pipelines on Databricks, and machine learning models that feed a real-time decisioning engine. The system is actively evolving, and we’re investing in the engineering foundations that will let it scale and adapt with the business. You’ll partner closely with data scientists, operations researchers, and product engineers to build reliable, extensible systems for model-driven personalization. This is an opportunity to shape the architecture behind a core part of Hungryroot’s customer experience. Responsibilities Design, build, and operate scalable backend services, APIs, and data pipelines. Improve the reliability, performance, and observability of production ML and optimization systems. Own the path from trained model to productio