Staff AI ML Engineer

Job Description

About the Role

We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. We enable MLEs at Cruise to Run and debug ML pipelines, Initiate data collection, Manage model training, Evaluate model performance, Deploy models to the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. 

What You’ll Do: 

• 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 

Your Skills & Abilities (Required Qualifications) 

• 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