Systems Engineering Intern - Machine Learning at Texas… · Dallas

Summary: Texas Instruments is a global semiconductor design and manufacturing company that develops analog and embedded processing ICs. They are seeking a highly motivated PhD student to join their Generative AI team as a Systems Engineering Intern, focusing on cutting-edge Large Language Model (LLM) research and development for Edge AI applications. Responsibilities: - 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 Required Qualifications: - Currently pursuing a PhD degree in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering or related field - Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: - Solid background in Natural Language Processing, Large Language Models, and Deep Learning frameworks - Proven track record of designing, developing, and deploying machine learning models/LLMs as demonstrated by first-authored publications at leading AI/ML workshops or conferences - Proficiency in Python, C/C++, and software design, including debugging, performance analysis, and optimization - Excellent understanding of LLM architectures and transformer-based models - Experience with popular deep learning frameworks (e.g., PyTorch, JAX, ONNX) and LLM-specific libraries (e.g., transformers, trl, vllm) - Knowledge of few-shot learning, transfer learning, and fine-tuning - Knowledge of LLM performance evaluation - Knowledge of reinforcement learning for LLM - Knowledge of LLM post-training implementation, including PPO, DPO, and GRPO - Experience with Agentic AI implementation with tool calling - Excellent communication and interpersonal skills, with the ability to work in a dynamic and distributed team Required Skills: Natural Language Processing, Large Language Models, Deep Learning frameworks, Machine learning models, Python, C++, Software design, Debugging, Performance analysis, Optimization, LLM architectures, Transformer-based models, PyTorch, JAX, ONNX, Transformers library, TRL library, VLLM library, Few-shot learning, Transfer learning, Fine-tuning, LLM performance evaluation, Reinforcement learning for LLM, PPO, GRPO, Agentic AI implementation Benefits: We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.