This team is within the Uber Machine Learning Platform team (Michelangelo) and we are building a truly extensible management system to handle full cycles Machine Learning ecosystems. We empower ML engineers to make impacts with confidence and ease.Our team is composed of collaborative people with deep knowledge in various domains, such as, but not limited to, distributed systems, analytical systems, large-scale backend services, large-scale computing infra, feature stores, data vis and cloud-based AI solutions. In this role, you will build the frontend of the system. That is a combination of standard entity pages and data visualization pages. Beyond the standard UI challenges, we are making the UI configuration driven from API, so that backend engineers can use the system to add in new components into this fast growing ML ecosystem without development cycles from frontend engineers.The frontend engineers will be freed up from making those standard pages, and will instead focus on the UI framework and building informative, interactive data visualization pages for understanding the models better. Basic Qualifications

• Experience with Modern JavaScript
• Modern JavaScript frameworks experience
• Exposure to modern UX concepts

Preferred Qualifications

• 4+ years full stack experience developing web applications at large scale
• Experience crafting and developing web UIs using JavaScript or Typescript
• Experience using frontend frameworks such as React or GraphQL
• Experience with Kubernetes

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.