Research Scientist, Llm Agents (foundational Research)
Thomson Reuters
Competitive compensation & benefits pyckages; not ...
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Phd in relevant discipline
First-author publications in top-tier conferences
Experience with agent systems or multi-agent coordination
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Thomson Reuters is seeking a Research Scientist specializing in foundational machine learning research, particularly in the development of advanced algorithms for Large Language Models (LLMs). The role involves innovation, experimentation, collaboration, and communicating findings within a global team, emphasizing a strong academic background and hands-on experience in AI and ML.
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Job Summary
The role involves innovating and creating new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research.
Candidates will collaborate with a diverse global team of experts, including Thomson Reuters Labs and academic partners at world-leading institutions.
The position offers access to over 60,000 TBs of legal, regulatory, news, and tax data along with high-impact problems and competitive benefits.
Matching Summary
Match Score: 75
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Thomson Reuters is seeking a Research Scientist specializing in foundational machine learning research, particularly in the development of advanced algorithms for Large Language Models (LLMs). The role involves innovation, experimentation, collaboration, and communicating findings within a global team, emphasizing a strong academic background and hands-on experience in AI and ML.
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Salary
Competitive compensation & benefits packages; Not specified; Includes flexible vacation, mental health days, tuition reimbursement, and incentive programs
Skills & Requirements
Must-have
PhD in relevant discipline
First-author publications in top-tier conferences
Experience with agent systems or multi-agent coordination
Proficiency in deep learning frameworks like PyTorch or JAX
Ability to innovate state-of-the-art AI approaches
Nice-to-have
Extensive experience with large-scale distributed model training
Strong software engineering skills for production code
Experience with cloud platforms like AWS or Azure
Background in leading academic initiatives or industry research
Contributions to popular open-source libraries
Key Requirements
Completed or in-process PhD
First-author publications in NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL