Principal Machine Learning Engineer, Agentic AI
New
Z
ZillowReal Estate AI
U.S. employees may live in any of the 50 United States, with limited exceptions.Full-TimePrincipal
SalaryUSD 194200 - 326600 / year
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Job Details
- Experience
- 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
- Required Skills
- Machine LearningDistributed Systems
Requirements
- Master's degree or above, or equivalent experience in Computer Science, Electrical Engineering, or a related field.
- Emphasis on building products using frontier multimodal LLMs.
- 5+ years of experience deploying large-scale ML models.
- 2-3 years of recent experience 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 agentic AI frameworks, such as LangGraph, Agents SDK, and AutoGen.
- Experience with production ML infrastructure.
- Strong communication skills to influence technical direction across teams and present to executive leadership.
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 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 executives and cross-functional partners.
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