Systems Engineering Intern - Machine Learning Expert

Change the world. Love your job. We are seeking a highly motivated PhD student to join our Generative AI team this fall to work on cutting-edge Large Language Model (LLM) research and development for Edge AI applications. As a key member of our team, you will focus on advancing the state-of-the-art in LLMs and Agentic LLMs, with applications in coding generation and optimization. Your work will involve exploring innovative approaches to integrate LLMs with other AI techniques to achieve human-like decision-making capabilities.

In this machine learning research engineer intern role, you’ll have the chance

to

• Research and develop novel LLM architectures and training methods to improve

performance and efficiency

• Explore the application of LLMs in coding generation, optimization, and other

areas of interest

• Collaborate with internal business teams to define and implement AI

strategies for our products

• Develop and maintain large-scale deep learning systems, incorporating LLMs

and other AI techniques

• Participate in the design and implementation of advanced Agentic LLM system

About Us

Texas Instruments Incorporated (TI) is a global semiconductor design and manufacturing company that develops analog and embedded processing ICs. By employing the world’s brightest minds, TI innovates that shape the future of technology with commits to building a better future. The future which covers from the responsible manufacturing of our semiconductors, to caring for our employees, to giving back to our communities and developing great minds. Put your talent to work with us – change the world, love your job!

Kilby Labs, TI’s central technology organization, is a global organization grouped by a variety of research engineers from multiple technology disciplines to deliver semiconductor technologies and solutions for future large volume products in a fast moving pace. The engineer is expected to do system modeling and simulations for solution