automl jobs in San Diego

Staff Software Engineer driving significant technology initiatives end-to-end across multiple architectural layers at Intuit. Architect and develop scalable, secure, maintainable applications using microservices, containers, and cloud platforms while proactively integrating AI technologies.…See more Mentor junior engineers on software engineering best practices, AI integration, and technical expertise. Launch AI integrations in production, evaluate impact using metrics, and stay abreast of industry best practices to solve critical customer problems.

Staff Software Engineer leading front-end development at Intuit with 7+ years of experience building large-scale web and mobile applications. Responsibilities include architecting front-end solutions, translating customer insights into prototypes and production code, mentoring junior engineers, and integrating AI technologies into applications.…See more Requires expertise in JavaScript, TypeScript, React, REST/SOAP web services, TDD, and hands-on experience with AI integration, model monitoring, and performance optimization in production environments.

Staff Software Engineer driving significant technology initiatives end-to-end across multiple architecture layers at Intuit. Responsible for architecting and developing scalable, secure applications using microservices and cloud technologies, with a focus on integrating AI models (LLM prompting, AutoML) into production systems.…See more Will mentor junior engineers on software best practices and AI integration, evaluate AI performance metrics, and stay current with emerging technologies. Requires 7+ years delivering enterprise-class applications with strong full-stack capabilities spanning front-end (JavaScript), mid-tier (Java), databases (SQL/NoSQL), and cloud/container platforms (Kubernetes, cloud environments).

Staff Software Engineer responsible for driving significant technology initiatives end-to-end across multiple architecture layers, designing and developing scalable, secure applications that solve critical customer problems. The role requires architecting microservices-based systems, integrating AI technologies (LLMs, AutoML) into production applications, and mentoring junior engineers on software best practices.…See more Candidates must have 9+ years of enterprise application development experience with proficiency in JavaScript, Java, Kubernetes, SQL/NoSQL databases, CI/CD pipelines, and practical AI integration skills including LLM prompting and production performance monitoring.