As a Machine Learning/AI Engineering Intern at Qualcomm, you will develop and optimize machine learning tools and frameworks for edge devices, working with neural network architectures, ML compilers, and hardware accelerators. You'll collaborate with a multi-disciplinary team on projects spanning model compression, inference optimization, compiler technologies, and distributed ML systems for smartphones, autonomous vehicles, robotics, and IoT platforms.… The role requires proficiency in programming (C++, Python), deep learning frameworks (TensorFlow, PyTorch), and exposure to GPU acceleration, performance optimization, and large-scale ML deployment. You will design, develop, and test software that makes models smaller and more efficient for next-generation mobile and embedded machine learning platforms.