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Employer
About Uber
Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.
As a Staff Machine Learning Engineer on Uber’s Customer Obsession team in San Francisco or Sunnyvale, you will architect, productionize, and scale an autonomous support agent that resolves customer issues across mobile, web, and voice platforms. Your day-to-day responsibilities include owning the end-to-end agent architecture, advancing retrieval and reasoning pipelines, establishing evaluation frameworks for safety and efficiency, driving automation at scale to reduce cost per contact, and mentoring senior engineers on technical strategy and quality standards. The role requires deep expertise in LLM-driven systems, including inference optimization and prompt design, as well as a track record of shipping customer-facing intelligent experiences with measurable impact. Preferred qualifications include experience with agentic architectures, support automation for large consumer platforms, multilingual NLU/NLG, and balancing speed and reliability at scale.