Staff AI ML Engineer

General Motors is seeking an experienced Staff full stack engineer to join their AI Lifecycle Team. The role focuses on developing AI solutions that enhance machine learning workflows and improve the productivity of machine learning engineers.

Responsibilities:

• 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

Requirements:

• 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
• A passion for all things tech and has a drive to experiment with new technologies to see where they can benefit the business
• BS, MS, or PhD in Computer Science, Math, Physics, or equivalent experience
• Willingness to travel to Sunnyvale, CA as needed
• Experience working with technologies including Web services, JSON, GraphQL, agentic workflows
• Experience building interactive tools that are core to people's daily work
• Experience with data science/visualization
• ML or experimental design knowledge
• Self-motivated, strong execution, impact-delivery oriented
• Excellent communication skills to resolve conflicts, build consensus, communicate risks and provide constructive feedback