Software Engineer II - Machine Learning jobs in United States
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ChatGPT Jobs · 11 hours ago

Software Engineer II - Machine Learning

Uber is a leading company in the field of AI and machine learning, and they are seeking a Software Engineer II to join the NOVA AI team. The role involves building and scaling an autonomous support agent to enhance customer service through advanced machine learning techniques and ensuring high reliability and efficiency in operations.

Computer Software

Responsibilities

Work on agent architecture: agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, onbrand 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 (promptinjection, jailbreak, PII redaction)
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 LLMasjudge (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

Qualification

LLM-driven systemsPythonAgentic architecturesSupport automationMultilingual NLU/NLGExperiment frameworksBachelor's degree

Required

Background in LLMdriven systems (inference optimization, prompt/program design, finetuning, distillation/LoRA, safety/guardrails, evals)
Strong software engineering in Python
Bachelor's degree (or above) in Computer Science or related field

Preferred

Agentic architectures in production (planner/executor, memory, multistep reasoning) and RAG over complex, policyheavy knowledge bases
Experience building support automation for large consumer platforms (routing, policy codification, internal tooling, copilot/autoresolve)
Multilingual NLU/NLG (codeswitching, lowresource languages), hallucination mitigation, safety redteaming, and privacybydesign
Practical expertise balancing speed and reliability at scale: experiment frameworks, feature flags, canary/guarded rollouts, and clear killswitches

Benefits

You will be eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
You will also be eligible for various benefits.

Company

ChatGPT Jobs

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Funding

Current Stage
Early Stage
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