Principal Machine Learning Engineer, Agentic AI

About the role: As a Principal Machine Learning Engineer on the Agentic Artificial Intelligence team, you will get to: 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.

Responsibilities

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

Requirements

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; Strong communication skills, with the ability to influence technical direction across teams and present to executive leadership

Nice to have

Track record of writing articles, patents, and publishing high-impact research

Benefits

Equity awards