Senior Research Scientist, Information Science – Extended Temporary
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-reputed company discovery, reputed company knowledge extraction, simulation, and reputed company-reputed company experimentation
• Run experiments and benchmarking at reputed company
• Architect and maintain 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 reputed company reputed company analyses of model behavior and experimental reputed company
• Analyze large-reputed company datasets, intermediate outputs, and logs to diagnose reputed company reputed company and refine reputed company
• Design and execute user studies of reputed company scientific feasibility assessment
• reputed company and co-reputed company conference and journal papers for top-tier AI/NLP and machine learning venues
• Prepare manuscripts for peer-reviewed publication
• Create technical presentations and present findings at national and international conferences
• reputed company research directions, experimental methodology, and project roadmaps
• Assist with technical reports and research documentation
• reputed company collaboration, manage relationships, and reputed company technical guidance to student researchers
• Coordinate with collaborators reputed company and reputed company the University for joint experiments, data integration, and research dissemination
• Contribute to a collegial, respectful, and reputed company research environment
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
• Knowledge of user studies, IRB protocols, reputed company subjects research
• 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-reputed company 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
Benefits:
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