Staff ML Engineer, Generative AI

Uber; Sunnyvale (CA); On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber's Customer Obsession team is hiring a Staff ML Engineer to architect, productionize, and scale an autonomous support agent for end-to-end issue resolution. You'll work on agentic architectures, GenAI orchestration, and multilingual support at global scale.

You will mentor engineers, define technical strategy, and drive cost-efficient, reliable solutions with strong CI/CD practices. This role requires 7+ years of ML experience and a CS degree.

Qualifications

• 7+ years producing ML/AI systems and 2+ years leading complex initiatives.
• Deep expertise in LLM-driven systems: inference, prompts, safety.
• Track record shipping customer-facing intelligent experiences with metrics.
• Bachelor's Degree or above in CS or related field.

Responsibilities

• Own end-to-end agent architecture, planning, memory, and policy enforcement.
• Advance retrieval and reasoning pipelines with policy-driven tools.
• Establish evals and CI/CD integration with safety tests and cost checks.
• Drive automation at scale, localization, and rollout strategy.
• Mentor engineers and set technical strategy and quality bars.

Skills

Production ML/AI

LLM systems

Leadership

A/B testing

Education

Bachelor's degree in CS or related

Job description

Uber's Customer Obsession team builds the platform and AI that powers world-class support across mobile, web, and voice at global scale. We are now hiring a Staff ML Engineer to architect, productionize, and scale an autonomous support agent that resolves customer issues end-to-end. Experience with agentic architectures 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.

What The Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

• Own the end-to-end agent architecture: agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on-brand conversations.
• 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.
• 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.
• 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.
• Mentor/principle-lead multiple pods; set technical strategy and quality bars; coach senior engineers on agentic patterns, reliability, and experiment velocity.

Basic Qualifications

• 7+ years building production ML/AI systems; 2+ years leading complex ML initiatives end-to-end.
• Deep expertise in LLM-driven systems (inference optimization, prompt/program design, fine-tuning, distillation/LoRA, safety/guardrails, evals).
• Track record of shipping customer-facing intelligent experiences with measurable impact (A/B testing, metrics literacy).
• Bachelor's Degree, or above, in Comp Science or related field.

Preferred Qualifications

• Agentic architectures in production (planner/executor, memory, multi-step reasoning) and RAG over complex, policy-heavy knowledge bases.
• Experience building support automation 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 speed and reliability at scale: experiment frameworks, feature flags, canary/guarded rollouts, and clear kill-switches.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

Benefits & Compensation

• 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.