Senior Staff Engineer, GenAI

Uber

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CASunnyvale, CA
Posted
46 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $210k
$148k $278k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $176,112–$244,437.

Based on 240 similar postings.

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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.

Uber currently has 107 open roles on FindRole.

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At a glance

TL;DR · Senior Staff Engineer, GenAI

The Sr. Staff Engineer (GenAI) joins the Customer Obsession team to architect, productionize, and scale an autonomous support agent capable of resolving customer issues end-to-end across mobile, web, and voice platforms. The role involves owning the end-to-end agent architecture, including agentic planning, long-term memory, and knowledge routing. Key responsibilities include shipping production systems with rigorous SLOs, designing safety guardrails for PII redaction and jailbreak prevention, and establishing evaluation rubrics using LLM-as-judge. The candidate will utilize Python, Go, Java, or C++ to build retrieval and reasoning pipelines, microservices, and cloud infrastructure. This position addresses the technical challenge of providing reliable, multilingual, and cost-efficient automated support by managing LLM orchestration, fine-tuning, distillation, and RAG over complex, policy-heavy knowledge bases.

What does a Engineer earn in California?

Median $199500 from 103 postings across 31 companies.

See salary data

What you'll do

  • Architect and own the end-to-end agentic planning, execution loops, and long-term memory systems.
  • Ship production systems capable of handling millions of conversations with rigorous SLOs and safety guardrails.
  • Build next-generation retrieval and reasoning pipelines to search across diverse knowledge sources.
  • Establish evaluation rubrics, simulated scenarios, and LLM-as-judge frameworks integrated into CI/CD.
  • Drive automation strategies to improve customer coverage and reduce cost per contact.
  • Set technical strategy and mentor senior engineers on agentic patterns and reliability.

What we're looking for

  • 10+ years of experience building production ML/AI systems.
  • 4+ years of experience leading complex ML initiatives end-to-end.
  • Deep expertise in LLM-driven systems including inference optimization, fine-tuning, safety guardrails, and evals.
  • Strong software engineering skills in Python plus one of Go, Java, or C++.
  • Hands-on experience with microservices, gRPC/HTTP, cloud infrastructure, containers, CI/CD, and real-time telemetry.
  • Demonstrated ownership of high-availability services including SLO/SLA design and incident response.
  • Track record of shipping customer-facing intelligent experiences with measurable impact.
  • Experience with agentic architectures and RAG over complex knowledge bases (preferred).

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