Role overview

Principal Machine Learning Engineer, Agentic AI

Requirements and responsibilities

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About the role

  • Develop large-scale, fault-tolerant multimodal agentic experiences that reach millions of customers
  • Design and develop multiple agent interaction modes, including Voice AI and Deep Research.
  • Pioneer robust evaluation frameworks, tracing systems, and safety guardrails to ensure our highly-visible AI agents remain trustworthy and responsible
  • Remain on the cutting edge of emerging agentic paradigms and convert them into tangible product innovation
  • Lead complex, multi-team initiatives, bridging the gap between applied research and highly scalable engineering
  • Distill complex research findings and AI system architectures into actionable insights for a diverse audience, including executives and cross-functional partner teams

Who you are

  • A master's degree or above, or equivalent experience in Computer Science, Electrical Engineering, or a related field, with emphasis on building products using frontier multimodal LLMs
  • 5+ years of experience with a proven track record of deploying large-scale ML models, with the most recent 2-3 years building agent-based systems, multi-agent collaboration, or similar paradigms
  • Experience developing engaging dialogue systems capable of long conversations, context-aware tool selection, and compliant response generation
  • Experience building AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance
  • Familiarity with various agentic AI frameworks, such as LangGraph, Agents SDK, AutoGen, and production ML infrastructure
  • A track record of writing articles, patents, and publishing high-impact research is a strong plus
  • Strong communication skills, with the ability to influence technical direction across teams and present to executive leadership
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