Boeing is looking to solve real-world industry challenges and opportunities in the aerospace industry through innovative technologies, including Artificial Intelligence and Software Engineering.
Requirements
Experience with programming languages and data tools such as Python, Matlab, C++, C or Java as well as SQL, Teradata, Tableau, Gephi or Airflow
Experience preparing data for, developing and evaluating learned models
Experience with Machine Learning development and deployment pipeline
Experience with Agile methodology and repositories, such as ADO, JIRA and Git
Knowledge of Generative AI, native mobile application (iOS/Android), and web-based solution development in an agile environment
Experience with software development, AI application, and machine learning
Familiarity with Boeing products and services
Responsibilities
Work directly with a mentor in the field of study to find solutions to real-world problems
Participate in the research and development as well as the rapid prototyping of advanced computing technologies for aerospace products and services
Develop and evaluate learned models
Prepare data for machine learning development and deployment pipeline
Collaborate with teams to develop innovative solutions
Apply academic skills and expertise to help solve real-world industry challenges and opportunities
Contribute to the development of future aerospace solutions while improving the cycle time, cost, quality and performance of existing Boeing products and services
Other
Completed the first year of PhD studies by July 2026
Pursing a PhD in Data Science, Applied Math, Software Engineering or similar
Ability to work full-time for 10-12 weeks during Summer 2026
Ability to work onsite at one of the listed location options
U.S. Person as defined by 22 C.F.R. §120.62 is required
