Uber - Staff Software Engineer / Technical Lead - Machine Learning / Artificial Intelligence

About The Role :

This is a pivotal leadership role to redefine the future of search and knowledge access at Uber.

We are looking for a visionary Staff Engineer and Tech Lead to spearhead the evolution of our internal search platform, transforming it from a traditional information retrieval tool into a conversational, intelligent, and action-oriented experience.

Your primary mission will be to architect a world-class search ecosystem for all Uber employees.

This requires a dual-pronged technical strategy : leading the in-house development of novel AI components while also conducting deep evaluations of cutting-edge third-party solutions.

You will be the key technical decision-maker on when to build and when to integrate.

As a Tech Lead Manager, you will be responsible for the high-level technical architecture, the strategic roadmap, and the leadership of a talented team of engineers.

You will set the technical vision, mentor your team, and remain hands-on, architecting critical systems and integration points.

This is a unique opportunity to own the strategy for a mission-critical platform and leverage the entire AI landscape-both internal and external-to deliver profound impact.

What The Candidate Will Need / Bonus Points :

What the Candidate Will Do :

• Architect the Ecosystem : Design and own the technical vision for Uber's next-generation enterprise search platform, creating a cohesive strategy that integrates first-party AI models with best-in-class third-party technologies.
• Lead AI Implementation : Drive the exploration and implementation of advanced AI capabilities. This includes architecting conversational interfaces, enabling multi-step reasoning, and bringing agentic AI functionalities to our users, whether through in-house development or strategic integration.
• Make Critical Build-vs-Buy Decisions : Conduct deep technical evaluations of industry-leading AI solutions.
• You will own the process of vetting vendors, prototyping integrations, and providing clear recommendations to leadership.
• Lead and Mentor : Lead a world-class team of software and machine learning engineers.
• Provide technical guidance, conduct architectural reviews, and foster a culture of innovation and engineering excellence.
• Build and Integrate : Remain hands-on, writing production-quality code for critical custom components, integration layers, and core platform infrastructure.
• Collaborate and Influence : Work closely with senior leadership, product managers, and stakeholders across the company to define the roadmap and ensure your team's work aligns with Uber's strategic goals.

Basic Qualifications :

Preferred Qualifications :

(ref : hirist.tech)