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

A master's degree or above, or equivalent experience in Computer Science, Electrical Engineering, or a related field
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

Senior Machine Learning Engineer

Key skills