Google
US - California - Mountain View
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Architect agent frameworks, state machines, planning methods, and high-velocity prototyping approaches, while leading research into agent architectures and self-improving foundation models. Lead enterprise Forward Deployed Engineering missions, develop generalizable agents, advise senior partners, and publish research breakthroughs.
Requirements: Requires a bachelor's degree or equivalent practical experience, at least eight years of software development experience, and eight years leading large-scale ML system design and infrastructure optimization. Candidates must have experience building agents and designing or evaluating LLMs and multimodal foundation models; a Ph.D., leading research publications, enterprise technical leadership, and expertise in reinforcement learning and alignment are preferred.
Key Skills: Python, C++, Java, JavaScript, Machine Learning, Large-Scale ML System Design, ML Infrastructure Optimization, Distributed Training, Model Deployment, Model Evaluation, Autonomous Agents, Multi-Agent Workflows, Large Language Models, Multimodal Foundation Models, Reinforcement Learning, Reward Modeling
Benefits: Bonus, Equity, Benefits
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