Staff Machine Learning Engineer, Core Services Eng (GenAI)

at global scale. We are now hiring a Staff ML Engineer to

that resolves customer issues end-to-end. Experience with

is a major plus. 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.

•

: agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on-brand conversations. •

: 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. •

: offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and

(with calibrated human review) wired into CI/CD and experiment platforms. •

: partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce

. •

multiple pods; set technical strategy and quality bars; coach senior engineers on agentic patterns, reliability, and experiment velocity.

(inference optimization, prompt/program design, fine-tuning, distillation/LoRA, safety/guardrails, evals). • Track record of shipping

intelligent experiences with measurable impact (A/B testing, metrics literacy). • Bachelor's Degree, or above, in Comp Science or related field.

in production (planner/executor, memory, multi-step reasoning) and

over complex, policy-heavy knowledge bases. • Experience building

for large consumer platforms (routing, policy codification, internal tooling, co-pilot/auto-resolve). • Multilingual NLU/NLG (code-switching, low-resource languages), hallucination mitigation, safety red-teaming, and privacy-by-design. • Practical expertise balancing

and

at scale: experiment frameworks, feature flags, canary/guarded rollouts, and clear kill-switches. ~~ ~~ For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you. You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits. Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.