Principal Machine Learning Engineer (Remote)

🤖 Principal Machine Learning Engineer — Agentic AI (Remote – US)We are seeking a Principal Machine Learning Engineer to help build next-generation agentic AI systems that power intelligent, multimodal assistants used by millions of people.This is a high-impact role at the intersection of machine learning, distributed systems, and product innovation, focused on building AI agents that can reason, interact, and operate in real-world environments at scale.🚀 What you’ll doBuild and deploy large-scale, fault-tolerant agentic AI systemsDesign multimodal agent experiences including voice AI and deep research capabilitiesDevelop AI evaluation frameworks, safety systems, and guardrails for production-grade agentsTranslate cutting-edge research in agentic AI into scalable product featuresLead complex, cross-team technical initiatives from research → productionWork closely with product, engineering, and research teams to define AI system architectureCommunicate complex AI concepts clearly to technical and executive stakeholders🧠 What we’re looking forExtensive experience in Machine Learning / AI engineering at scaleStrong background in production ML systems and distributed architecturesExperience with LLMs, agent systems, or multimodal AI (voice, vision, text)Ability to design evaluation frameworks and safety layers for AI systemsProven track record of leading large, cross-functional technical projectsStrong systems thinking and ability to bridge research and production engineering🌍 Why this role stands outWork on frontier agentic AI systems used at massive scaleHigh ownership and autonomy in shaping AI product directionDirect impact on how millions of users interact with AI assistantsCutting-edge environment bridging research + real-world deploymentFully remote (US-based)