Staff Machine Learning Engineer - Applied AI
Uber
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How this pay compares to similar roles
This role pays more than 61% of similar roles. Most pay $187,296–$246,150 — the shaded band above. At the midpoint, this role pays about $232k versus about $217k for comparable roles.
Based on 240 similar postings.
Employer
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.
Uber currently has 95 open roles on FindRole.
Listed pay typically runs $232,000–$232,000 across 76 roles with salary data.
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At a glance
As a Staff ML Engineer on Uber’s Customer Obsession team in Sunnyvale, you will architect, productionize, and scale an autonomous support agent that resolves customer issues across mobile, web, and voice platforms at global scale. Your responsibilities include owning the end-to-end agent architecture, advancing retrieval and reasoning pipelines, establishing evaluation frameworks for safety and efficiency, driving automation to reduce cost per contact, and mentoring senior engineers. You will work with LLM-driven systems, including inference optimization and prompt design, while ensuring compliance and reliability in a multilingual environment. The role requires deep expertise in agentic architectures, RAG over complex knowledge bases, and support automation for large consumer platforms. Ideal candidates have a track record of shipping customer-facing intelligent experiences and balancing speed and reliability at scale.
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