Software Engineer II - (Frontend) ML Platform
Michelangelo Team
Uber's Michelangelo team builds and operates the company's end-to-end machine learning platform, empowering teams across Uber to develop, deploy, and scale AI/ML solutions with speed, reliability, and compliance. From real-time fraud detection to personalized recommendations and dynamic pricing, Michelangelo provides the core infrastructure, workflows, and developer tools that make AI accessible at scale. The team focuses on delivering cutting-edge capabilities in model training, orchestration, feature engineering, deployment, and observability-driving innovation while ensuring performance, safety, and trust in Uber's AI systems.
In this role, you will design and build the frontend of Uber's machine learning platform, Michelangelo. The work spans standard entity pages as well as rich, interactive data visualization experiences for model insights. A core focus is making the UI configuration-driven through APIs, enabling backend engineers to seamlessly extend the system with new components without additional frontend cycles. This approach frees frontend engineers to concentrate on advancing the UI framework and developing intuitive, high-impact visualizations that help users better understand and optimize their models in Uber's rapidly growing ML ecosystem. As Michelangelo moves toward open source, you will also help shape frameworks and interfaces that will be used by a global developer community, influencing industry best practices in ML platforms.
Basic Qualifications
Uber's Michelangelo team builds and operates the company's end-to-end machine learning platform, empowering teams across Uber to develop, deploy, and scale AI/ML solutions with speed, reliability, and compliance. From real-time fraud detection to personalized recommendations and dynamic pricing, Michelangelo provides the core infrastructure, workflows, and developer tools that make AI accessible at scale. The team focuses on delivering cutting-edge capabilities in model training, orchestration, feature engineering, deployment, and observability-driving innovation while ensuring performance, safety, and trust in Uber's AI systems.
In this role, you will design and build the frontend of Uber's machine learning platform, Michelangelo. The work spans standard entity pages as well as rich, interactive data visualization experiences for model insights. A core focus is making the UI configuration-driven through APIs, enabling backend engineers to seamlessly extend the system with new components without additional frontend cycles. This approach frees frontend engineers to concentrate on advancing the UI framework and developing intuitive, high-impact visualizations that help users better understand and optimize their models in Uber's rapidly growing ML ecosystem. As Michelangelo moves toward open source, you will also help shape frameworks and interfaces that will be used by a global developer community, influencing industry best practices in ML platforms.
Basic Qualifications
- Experience with Modern JavaScript
- Experience with Modern JS frameworks
- Exposure to modern UX concepts
- 3+ years frontend or full stack experience developing web applications at large scale
- Min 3+ industry engineeting experience
- Experience designing and developing web UIs using JavaScript or Typescript
- Experience using frontend frameworks such as React or GraphQL
- Experience with Kubernetes
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