TEEMA
Founding Principal Research Scientist-Agentic AI (Alameda)
TEEMA, Alameda, California, United States, 94501
Academic & Research Excellence
PhD in Computer Science, AI / ML, or a related discipline , or an equivalent research record with strong publications. Demonstrated research impact , ideally supported by several hundred citations (400+ as a strong benchmark). Top-Tier Publication Record
Steady history of publications at leading AI / ML conferences: NeurIPS, ICML, ICLR, AAAI. And / or at NLP-focused venues: ACL, EMNLP, NAACL, COLING. Additional contributions in journals such as JMLR, TMLR, TPAMI. Deep Expertise in Agentic AI and Related Fields
Recent contributions in autonomous agents, planning, tool use, or multi-agent systems. Highly desirable expertise includes : Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Vision-Language Models (VLMs) Reinforcement Learning (RL) LLM Alignment & Safety Technical & Leadership Skills
Strong theoretical and conceptual foundation, with the ability to guide teams through complex scientific challenges. Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow, JAX) for rapid prototyping and collaboration.
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PhD in Computer Science, AI / ML, or a related discipline , or an equivalent research record with strong publications. Demonstrated research impact , ideally supported by several hundred citations (400+ as a strong benchmark). Top-Tier Publication Record
Steady history of publications at leading AI / ML conferences: NeurIPS, ICML, ICLR, AAAI. And / or at NLP-focused venues: ACL, EMNLP, NAACL, COLING. Additional contributions in journals such as JMLR, TMLR, TPAMI. Deep Expertise in Agentic AI and Related Fields
Recent contributions in autonomous agents, planning, tool use, or multi-agent systems. Highly desirable expertise includes : Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Vision-Language Models (VLMs) Reinforcement Learning (RL) LLM Alignment & Safety Technical & Leadership Skills
Strong theoretical and conceptual foundation, with the ability to guide teams through complex scientific challenges. Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow, JAX) for rapid prototyping and collaboration.
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