As a Senior Machine Learning Engineer on the Agentic Artificial Intelligence team, you will develop large-scale, fault-tolerant multimodal agentic experiences, design and develop multiple agent interaction modes, and lead complex, multi-team initiatives.
Requirements
- 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
- Strong communication skills, with the ability to influence technical direction across teams and present to executive leadership