Senior Machine Learning Engineer

Uber
Sunnyvale, United StatesPosted 6 March 2026

Job Description

Senior Machine Learning Engineer Department: Engineering Team: Machine Learning Location: Sunnyvale, United States Type: Full-Time **About the Role** The NOVA AI team builds the platform and AI that powers world‑class support across mobile, web, and voice at global scale. We are now hiring a Senior ML Engineer to build and scale an autonomous support agent that resolves customer issues end‑to‑end. You’ll push the state of the art in GenAI for customer service—LLM orchestration, evaluation, safety guardrails, multilingual support—while holding a very high bar for reliability and cost efficiency. We are still at an early stage and value candidates with bias for action who get creative with GenAI tools to accelerate execution and experimentation. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Work on agent architecture: agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on‑brand conversations. 2. Ship production systems that handle millions of conversations with rigorous SLOs, fallbacks, and canaries; design graceful degradation (e.g., human handoff) and safety guardrails (prompt‑injection, jailbreak, PII redaction). 3. Advance retrieval & reasoning: Build next-generation retrieval and reasoning pipelines, where the agent can search across different knowledge sources, apply policy-driven tools, and call structured workflows and ensure that responses are consistently grounded. 4. Establish evals that matter: offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and LLM‑as‑judge (with calibrated human review) wired into CI/CD and experiment platforms. 5. Drive automation at scale: partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce cost per contact. \-\-\-\- Basic Qualifications ---- 1. Background in LLM‑driven systems (inference optimization, prompt/program design, fine‑tuning, distillation/LoRA, safety/guardrails, evals). 2. Strong software engineering
Apply Now

Direct link to company career page

Share this job