Remote AI & Engineering Data Intern – Dashboards & Demos

Siemens AG; Maryland Heights, Northern (MO, KY); Hybrid; USD 25,000 - 69,000; Full time

Benefits offered by this job

Employee discounts at top sites

Networking with global leaders

Mentorship from senior employees

Individual career development planning

Professional and technical workshops

Paid volunteer time off

Energetic student community

Leadership opportunities

Potential for full-time offers after毕业

Job summary

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support AI initiatives within Capital PreSales. You''ll gain hands-on experience applying AI to aerospace, defense, and automotive challenges, building datasets and AI-enabled demonstrations.

The role blends engineering, software, data management, and AI to create customer-facing demos and internal capabilities, with fully remote work within the United States and opportunities for professional development.

Qualifications

• Currently pursuing an undergraduate or graduate degree in a relevant field.
• Experience with Python, data analytics, ML, or AI technologies is expected.
• Familiarity with digital engineering concepts or PLM is a plus.
• Strong communication and collaboration skills.

Responsibilities

• Develop and curate engineering datasets for AI and analytics.
• Support AI/Generative AI proof-of-concepts using engineering data.
• Connect systems and engineering information into reusable data models.
• Evaluate AI-assisted engineering workflows and use cases.
• Build dashboards and visualizations to communicate insights.
• Support customer demonstrations and enablement activities.

Skills

Python

Data analytics

Machine learning

AI technologies

Remote work

Communication

Problem solving

Education

Bachelor's or Master's in Computer Science / Data Science / AI

Job description

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support AI initiatives within Capital PreSales. You''ll gain hands-on experience applying AI to aerospace, defense, and automotive challenges, building datasets and AI-enabled demonstrations.

The role blends engineering, software, data management, and AI to create customer-facing demos and internal capabilities, with fully remote work within the United States and opportunities for professional development.