2027 Summer Applied Science Internship - Information & Knowledge Management (Machine Learning)- United States, PhD Student Science Recruiting

What you'll do

• Develop tools and scalable processes for machine-learning assets, data analysis, model development, validation, and implementation.
• Research and apply machine-learning techniques; design and evaluate models for business problems.
• Use AI-powered tools for research, experimentation, and prototyping, and review their outputs.

What they ask for

• Enrolled in a PhD program.
• Able to relocate to the internship location and work full-time (40 hours per week) for the entire internship.
• Programming experience in Java, C++, Python, or a related language; experience in at least one listed area such as machine learning, NLP, knowledge graphs, or deep learning.
• Demonstrated scientific depth in a research area, evidenced by publications, thesis work, or equivalent contributions.

Nice to have

• Publications at top-tier peer-reviewed conferences or journals.
• Experience building machine-learning models or developing algorithms for business applications.

Pay

135,660.00 USD Annually (starting pay; salary basis not specified)

Tools

Java, C++, Python, Knowledge Graphs, Neural Networks/GNNs, Time Series, Natural Language Processing, Large Language Models

AI focus

Applied machine-learning research and development, including knowledge management, information retrieval, NLP, model lifecycle tools, and model development; use and validate AI-powered tools.