Principal Machine Learning Engineer, Agentic AI

What you'll do

• Develop multimodal agent experiences and interaction modes, including Voice AI and Deep Research.
• Build evaluation frameworks, tracing systems, and safety guardrails for trustworthy AI agents.
• Lead cross-team initiatives and communicate research and system architecture to executives and partners.

What they ask for

• Master’s degree or above, or equivalent experience, in Computer Science, Electrical Engineering, or a related field, emphasizing products using frontier multimodal LLMs.
• 5+ years deploying large-scale ML models, including the most recent 2–3 years building agent-based systems, multi-agent collaboration, or similar paradigms.
• Experience developing long-conversation dialogue systems with context-aware tool selection and compliant responses.
• Experience building high-availability, low-latency, fault-tolerant AI services handling hundreds of millions of daily interactions.

Nice to have

• Familiarity with agentic AI frameworks such as LangGraph, Agents SDK, AutoGen, and production ML infrastructure.
• Track record of writing articles, patents, or publishing high-impact research.

Pay

$209,400.00 - $334,600.00 annually (base salary); $199,000.00 - $317,800.00 annually (base salary)

Tools

frontier multimodal LLMs, LangGraph, Agents SDK, AutoGen

AI focus

Develop multimodal agentic AI, including Voice AI and Deep Research; build evaluation, tracing, and safety systems for customer-facing agents.