Job Description
About Circuit
Circuit is building the world’s first manufacturing-focused AI knowledge and workflow platform. Our mission is to help industrial and manufacturing enterprises transform how they sell, support, and collaborate with their dealer, distributor, and customer networks by turning complex product data and documentation into actionable, intelligent workflows, from partner enablement to CPQ to technical support.
The Role
As a Staff Applied ML Engineer, you are responsible for turning ML capabilities into production-ready product features.
This is a hands-on IC role with high ownership. You are accountable for ML-driven features working end to end. That includes how models, retrieval systems, and agent workflows come together, how they behave in real usage, and whether they meet customer expectations.
You will work side by side with our ML experts, taking ideas and novel approaches and driving them into reliable, production-ready systems that are integrated, tested, and behaving correctly within the full product.
You should be comfortable moving quickly to prototype and validate ideas, while also bringing the engineering discipline needed to build reliable, testable, and maintainable systems. A core part of the role is improving the quality of the ML codebase over time without slowing down iteration.
AI coding tools are core to how you work every day. You use them fluently to explore, build, and test, and you have the judgment to evaluate what they produce. We ship fast and we ship with quality.
About Circuit
Circuit is building the world’s first manufacturing-focused AI knowledge and workflow platform. Our mission is to help industrial and manufacturing enterprises transform how they sell, support, and collaborate with their dealer, distributor, and customer networks by turning complex product data and documentation into actionable, intelligent workflows, from partner enablement to CPQ to technical support.
The Role
As a Staff Applied ML Engineer, you are responsible for turning ML capabilities into production-ready product features.
This is a hands-on IC role with high ownership. You are accountable for ML-driven features working end to end. That includes how models, retrieval systems, and agent workflows come together, how they behave in real usage, and whether they meet customer expectations.
You will work side by side with our ML experts, taking ideas and novel approaches and driving them into reliable, production-ready systems that are integrated, tested, and behaving correctly within the full product.
You should be comfortable moving quickly to prototype and validate ideas, while also bringing the engineering discipline needed to build reliable, testable, and maintainable systems. A core part of the role is improving the quality of the ML codebase over time without slowing down iteration.
AI coding tools are core to how you work every day. You use them fluently to explore, build, and test, and you have the judgment to evaluate what they produce. We ship fast and we ship with quality.
Equal-Opportunity Employer
Who Should Apply
If you're an engineer who understands operational ML, the practical side of making these systems work in production rather than the deep algorithmic internals, and you're energized by the product side of what you're building, we'd love to hear from you. You work AI-native every day, ship real systems, and have the judgment to know when AI-generated code is ready for production. The problems here are genuinely hard, the customer impact is real, and we move fast.