Build UX experiences and agentic workflows to improve MLE workflows and productivity
Build backend integrations to provide unified experience across ML lifecycle
Raise the bar on system observability, debuggability, and operational excellence, and user experience
Own and drive the design and architecture across the ecosystem that meets security and compliance standards
Establish consistent metrics to measure platform performance & health and create the roadmap for scale, reliability, low latency and speed of development and deployment
Partner with cross functional teams to understand requirements to design, architect and build framework of UX and backend integrations
Partner with engineering teams to ensure seamless end-to-end flow and data quality
Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
Review and approve technical design documents and pull requests
Improve and enhance engineering systems documentation and development processes
Identify and pursue new paths of inquiry, innovation and challenge status quo
Develop and nurture technical talent within the team and recruiting

Experience building, deploying, and operating high-availability services
Led large technical initiatives from idea to operationalization and continuous evolution of technical solution to enable new business capabilities and improve efficiencies
Ability to identify broad challenges (technical, functional, business challenges) worth tackling, and parse them into initiatives within and across engineering teams
Experience creating ground up enterprise architecture, systems architecture, integration architecture standards, frameworks, and practices
Programming experience in Python, Java, Go
Experience working with cloud infrastructure, automations, configuration management, artifact management and building advanced CI/CD solutions
Experience building production-level frontend applications using React, Angular or similar frameworks
Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals
BS, MS, or PhD in Computer Science, Math, Physics, or equivalent experience
Willingness to travel to Sunnyvale, CA as needed

Staff AI/ML Engineer

Key skills