[2027 Summer] AI Research and Engineering Intern for Business Intelligence (8023)

TSMC Technology, Inc. is hiring an AI Research and Engineering Intern for Business Intelligence to research and build reliable AI agents and models for enterprise business intelligence. The intern will lead a research and engineering project end-to-end, from method design and experimentation through deployment and rigorous evaluation, with the goal of producing research or prototypes for business workflows.

Responsibilities:

• Lead a research and engineering project. Frame an open problem, form hypotheses, and run careful experiments, from small-scale ablations up to training and serving on GPUs
• Develop models and agents. Build and manage advanced machine learning, deep learning, LLM, foundation model, and time-series methods. Use them to develop data-driven solutions to complex business problems, and implement agent harnesses, tool interfaces, and environments grounded in realistic BI workloads
• Deploy and operate. Package, serve, and monitor models and agents in production-like environments. Optimize them for reliability, latency, and cost
• Turn data into decisions. Analyze and interpret complex data sets. Translate the results into actionable insights that improve decision-making for business stakeholders
• Evaluate rigorously. Design benchmarks and evaluation protocols that measure reliability, not just demo quality. Report negative results honestly
• Collaborate across teams and borders. Work with cross-functional and international teams in the US and Taiwan to find and prioritize opportunities to use data. Partner with research scientists and data engineers to develop and deploy predictive models and agentic systems. Help build and maintain efficient processes for collecting, storing, and analyzing data. Take part in weekly research syncs, paper reading groups, and brainstorming sessions
• Communicate your work. Present insights and recommendations to both technical and non-technical stakeholders through internal reports and presentations. Write up findings for publication and/or internal deployment