Machine Learning Engineer- Cloud Deployment (Remote)

Job Description: Develop large-scale, fault-tolerant multimodal agentic experiences that reach millions of customersDesign and develop multiple agent interaction modes, including Voice AI and Deep ResearchPioneer robust evaluation frameworks, tracing systems, and safety guardrails to ensure our highly-visible AI agents remain trustworthy and responsibleRemain on the cutting edge of emerging agentic paradigms and convert them into tangible product innovationLead complex, multi-team initiatives, bridging the gap between applied research and highly scalable engineeringDistill complex research findings and AI system architectures into actionable insights for a diverse audience, including executives and cross-functional partner teamsRequirements: A master's degree or above, or equivalent experience in Computer Science, Electrical Engineering, or a related field5+ 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 paradigmsExperience developing engaging dialogue systems capable of long conversations, context-aware tool selection, and compliant response generationExperience building AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault toleranceFamiliarity with various agentic AI frameworks, such as LangGraph, Agents SDK, AutoGen, and production ML infrastructureA track record of writing articles, patents, and publishing high-impact research is a strong plusStrong communication skills, with the ability to influence technical direction across teams and present to executive leadershipBenefits: competitive base salaryequity awards based on experience, performance and locationflexible work arrangements