Amperity
Seattle · CDP
Seattle · CDP
Currently tracking 5 active AI roles, down 14% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $190k–$280k (avg $233k).
| Title | Stage | AI score |
|---|---|---|
| Lead Machine Learning Engineer Lead Machine Learning Engineer at Amperity, an AI-first company focused on customer data and personalized experiences. The role involves leading ML projects, guiding technical direction, and developing platform capabilities for AI-driven products. Responsibilities include architecting ML platform components, building automated training and deployment pipelines, designing feature engineering systems, improving inference latency, and establishing MLOps best practices. Requires 8+ years of experience in building production ML systems, technical leadership, expertise in ML deployment, serving, feature engineering, monitoring, and cloud-native infrastructure. | ServeData | 8 |
| Submit Your Application for Future Consideration Amperity is an AI-first company building an AI-powered Customer Data Cloud to help brands create personalized customer experiences. They are looking for engineers passionate about building products that drive real-world impact with AI. This is a general application for future engineering roles. |
| Ship |
| 7 |
| Senior Software Development Engineer Amperity is an AI-first company building an AI-powered Customer Data Cloud. This Senior Software Development Engineer role on the MAX team will focus on building predictive analysis tools, real-time decisioning engines, and agentic toolchains. The role involves owning batch and real-time streaming systems, building full-stack experiences for data visualization and insights, integrating services into customer businesses, and developing agentic tools for customers and an MCP for external AI tools. | Agent | 5 |
| Lead Software Development Engineer Lead Software Development Engineer at Amperity, an AI-first company focused on customer data platforms. The role involves evolving a large, mature platform, unifying batch and real-time processing, managing technical debt, and integrating AI tooling to improve team velocity and customer experience. Requires strong experience in large-scale distributed systems and a pragmatic approach to applying AI. | Ship | 5 |