Machine Learning & Artificial Intelligence Engineering Internship – Summer 2027
Core
Build best-in-class ML/AI solutions and tools for next-generation mobile and embedded machine learning platforms powering smartphones, autonomous vehicles, robotics, and IoT devices.
Role type
Machine Learning / AI Engineering Intern
Builds
ML tools, frameworks, and software for edge devices
Domain
Mobile computing, embedded systems, AI infrastructure
Deliverable
production ML models
Required skills
C, C++, Python, neural network frameworks (TensorFlow, TFLite, PyTorch), deep neural networks, model optimization
Preferred skills
deep learning architectures (CNNs, RNNs, LSTMs), compiler frameworks (LLVM, GCC, TVM, XLA), GPU programming (CUDA), distributed inference, model compression, quantization, reinforcement learning, NLP, computer vision, federated learning
Technologies
TensorFlow, TFLite, PyTorch, CUDA, Kubernetes, MLIR, LLVM, GCC, TVM, XLA
Responsibilities
Design, develop, and test software for machine learning tools and frameworks; optimize models for edge devices; work with neural network frameworks and hardware accelerators
Seniority
Intern
