Back to jobs

Staff ML Engineer, Generative AI

Sunnyvale, CA

Pay
USD 232,000–258,000/year · Base — pay source
~~ ~~ For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 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.
Read the full posting
Work setting
Working pattern needs review — work setting source
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits. (https://jobs.uber.com/en/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. (https://forms.gle/aDWTk9k6xtMU25Y5A?uclick\_id=d56eb634-bfb9-455e-a50d-901b3de0490c)
Read the full posting
Employment
Not stated
Apply at Uber

What you’ll work on

Full posting
  • Own the end-to-end architecture of the autonomous support agent, including planning, memory, and policy enforcement

  • Build retrieval and reasoning pipelines that keep agent responses grounded in knowledge sources

  • Create offline rubrics, simulated scenarios, safety tests, and LLM-as-judge evals wired into CI/CD

  • Partner with Product, Design, and Operations on coverage, localization, and rollout to reduce cost per contact

From the employer’s posting
Own the end‑to‑end agent architecture
Build next-generation retrieval and reasoning pipelines
Establish evals that matter
partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy
Education & alternatives
3. Track record of shipping **customer‑facing** intelligent experiences with measurable impact (A/B testing, metrics literacy). 4. Bachelor's Degree, or above, in Comp Science or related field. ---- Preferred Qualifications ----

Posting record

Report an error

Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 2026 · 1 day ago
Recorded sightings
5
Last seen by us
Oct 30, 2026
Employer says posted
Oct 27, 2026

We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on www.uber.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

**About the Role** 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 ---- 1. **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. 2. **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. 3. **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. 4. **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** . 5. **Mentor/principle‑lead** multiple pods; set technical strategy and quality bars; coach senior engineers on agentic patterns, reliability, and experiment velocity. ---- Basic Qualifications ---- 1. 7+ years building production ML/AI systems; 2+ years leading complex ML initiatives end‑to‑end. 2. Deep expertise in **LLM‑driven systems** (inference optimization, prompt/program design, fine‑tuning, distillation/LoRA, safety/guardrails, evals). 3. Track record of shipping **customer‑facing** intelligent experiences with measurable impact (A/B testing, metrics literacy). 4. Bachelor's Degree, or above, in Comp Science or related field. ---- Preferred Qualifications ---- 1. **Agentic architectures** in production (planner/executor, memory, multi‑step reasoning) and **RAG** over complex, policy‑heavy knowledge bases. 2. Experience building **support automation** for large consumer platforms (routing, policy codification, internal tooling, co‑pilot/auto‑resolve). 3. Multilingual NLU/NLG (code‑switching, low‑resource languages), hallucination mitigation, safety red‑teaming, and privacy‑by‑design. 4. 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. 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. **Ready to Ride?** 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. (https://jobs.uber.com/en/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. (https://forms.gle/aDWTk9k6xtMU25Y5A?uclick\_id=d56eb634-bfb9-455e-a50d-901b3de0490c) Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

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

Sunnyvale, CA

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits. (https://jobs.uber.com/en/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. (https://forms.gle/aDWTk9k6xtMU25Y5A?uclick\_id=d56eb634-bfb9-455e-a50d-901b3de0490c)
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at www.uber.com ↗

This posting reached us through a job exchange.

Read the full description ↓

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.