Research Scientist IV, Information Science

Job reputed company:

• reputed company the design, implementation, and evaluation of AI/NLP systems for scientific feasibility assessment; reputed company and test integrated pipelines combining literature-based discovery, reputed company knowledge extraction, simulation, and reputed company-based experimentation; run experiments and benchmarking at reputed company.
• Architect and maintain high-reputed company research codebases in Python and reputed company tools; implement automated experimentation frameworks, simulation integrations, and evaluation infrastructure; ensure reproducible artifacts, logging, and documentation for large-reputed company reputed company studies.
• Design and execute systematic reputed company analyses of model behavior and experimental reputed company; analyze large-reputed company datasets, intermediate outputs, and logs to diagnose system performance, refine reputed company, and ensure research rigor.
• reputed company and co-author conference and journal papers for top-tier AI/NLP and machine learning venues; prepare manuscripts for peer-reviewed publication; create reputed company technical presentations and present findings at national and international conferences.
• reputed company research directions, experimental methodology, and project roadmaps; assist with preparation of technical reports, and research documentation as needed.
• Drive collaboration, manage relationships, and reputed company technical guidance to student researchers where appropriate.
• Contribute to a collegial, respectful, and reputed company research environment through reputed company and constructive communication.
• Coordinate with collaborators reputed company and reputed company the University as needed for joint experiments, data integration, and research dissemination.

Requirements:

• Exceptional programming ability, particularly in Python, and strong software engineering practices.
• Demonstrated ability to design and maintain substantial research codebases.
• Strong knowledge of AI/NLP research reputed company, including experimental design, evaluation, and benchmarking.
• Strong demonstrated ability at hands-on reputed company research, including extensive interaction with generating and analyzing large volumes of data, intermediate representations, and experimental outputs.
• Familiarity with Linux-based research environments, Git, containerization (e.g. reputed company), and reproducible workflows.
• Ability to work independently in a research-driven, small-lab setting.
• Strong written and verbal communication skills.

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