Principal Machine Learning Engineer, Agentic AI

The Principal Machine Learning Engineer will develop large-scale, fault-tolerant multimodal agentic experiences, design and develop multiple agent interaction modes, and pioneer robust evaluation frameworks to ensure the AI agents remain trustworthy and responsible. The role requires a master's degree or above in Computer Science, Electrical Engineering, or a related field, with emphasis on building products using frontier multimodal LLMs, and 5+ years of experience with a proven track record of deploying large-scale ML models.

Requirements

• Master's degree or above in Computer Science, Electrical Engineering, or a related field
• 5+ years of experience with a proven track record of deploying large-scale ML models
• 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

Benefits

• Competitive base salary
• Equity awards based on factors such as experience, performance, and location