Applied Scientist R&D Intern (Hybrid)

About the Role

Join the Software Innovation Lab team at IBM Software and help shape the foundations of artificial intelligence. Our group of applied scientists and software developers conducts end-to-end research that delivers real-world AI impact through a rigorous, responsible, and open innovation framework. We are the R&D team behind the innovation engine of IBM Software, building technologies that IBM customers rely on today and in the future.

As an intern, you will advance agent architectures and domain-specific models for business processes, IT and industrial automation, and software engineering across distributed and non-distributed environments. You will also develop responsible AI systems and enterprise-grade benchmarks that help enterprises personalize services, automate operations, optimize workflows, predict demand, and deliver effective outcomes.

As an AI Applied Scientist Intern, you will take part in the applied research lifecycle. Your work will include identifying core challenges, designing novel prototype solutions, and validating them through rigorous experimentation. Research areas include foundation models and multimodal AI, business process intelligence and automation, IT and industrial automation, AI for software engineering, reliable and scalable agentic systems, AI security and trustworthiness, enterprise knowledge graphs, continual agent learning and adaptation, and knowledge-guided workflow orchestration.

You will work in small, mentored teams and be responsible for taking projects from ideation to completion. A key objective is sharing significant results through publications in leading conferences and patent applications, supporting both the academic community and IBM's open innovation initiatives.

Program Dates

• Semester System: May 24, 2027 to August 13, 2027
• Quarter System: June 14, 2027 to September 3, 2027

Start dates vary based on your academic calendar. Candidates must be available for the full duration of the internship corresponding to their academic schedule.

By applying to this requisition, you agree to be considered for any of the listed locations associated with this position and are willing to work at the location where you are ultimately assigned.