Senior Machine Learning Engineer

Senior Machine Learning Engineer – Uber, Sunnyvale, CA (On‑site / Remote).

We are building the platform and AI that powers world‑class support across mobile, web, and voice at global scale. As a Senior ML Engineer you will design, build, and scale an autonomous support agent that resolves customer issues end‑to‑end, pushing the state of the art in GenAI for customer service‑LLM orchestration, evaluation, safety guardrails, and multilingual support while maintaining a high bar for reliability and cost efficiency.

We value candidates with a bias for action who can creatively leverage GenAI tools to accelerate execution and experimentation.

• Work on agent architecture: agentic planning and execution loops, long‑term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on‑brand conversations.
• 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).
• Advance retrieval & reasoning: build next‑generation retrieval and reasoning pipelines, enabling the agent to search across different knowledge sources, apply policy‑driven tools, and call structured workflows while keeping responses consistently grounded.
• Establish evals that matter: offline rubrics, simulated scenarios, safety tests, cost/latency trade‑off suites, and LLM‑as‑judge (with calibrated human review) wired into CI/CD and experiment platforms.
• Drive automation at scale: partner with Product, Design, and Operations on coverage, policy alignment, localization, and rollout strategy to improve customer experience and reduce cost per contact.

• Background in LLM‑driven systems (inference optimization, prompt/program design, fine tuning, distillation/LoRA, safety/guardrails, evals).
• Strong software engineering in Python.
• Track record of shipping customer‑facing intelligent experiences with measurable impact (A/B testing, metrics literacy).
• Bachelor’s degree (or above) in Computer Science or related field.

• Experience with agentic architectures in production (planner/executor, memory, multi‑step reasoning) and RAG over complex, policy‑heavy knowledge bases.
• Background building support automation for large consumer platforms (routing, policy codification, internal tooling, copilot/autoresolve).
• Multilingual NLU/NLG (code‑switching, low‑resource languages), hallucination mitigation, safety red‑team, 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 is USD $198,000 per year – USD $220,000 per year. Eligible for Uber’s bonus program and equity award, as well as additional compensation types and benefits. More details can be found at the following link.

OAuth:
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.

Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green‑light hubs, employees are expected to be in‑office for 100% of their time. Please speak with your recruiter to better understand in‑office expectations for this role.