<p>Currently enrolled in a bachelor's, master's, or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field Must be available for 11-14 weeks during Summer 2026 (May-September) Expected graduation date of November 2026 or later 1+ years of experience with programming languages such as C, C++, Python Currently enrolled in a Master's or PhD degree program in computer engineering, computer science, electrical engineering, or a related field Candidates actively pursuing a degree with an anticipated graduation between November 2026 and June 2027 Proficiency in deep neural networks, machine learning algorithms, and architectures (CNNs, RNNs, LSTMs) Experience with ML frameworks like TensorFlow, TFLite, PyTorch Skills in neural network programming, video/image processing, and application development Knowledge of compiler frameworks (LLVM, GCC, TVM, XLA) and parallel computing Understanding of linear algebra operations and fast math libraries Theoretical knowledge of ML, deep learning, model compression, quantization, and optimization Experience with reinforcement learning, neural architecture search, kernel optimization, Bayesian optimization Familiarity with on-device training, transfer learning, personalization, federated learning, NLP, and ML security/privacy Experience with deep generative models, audio/speech processing, NLP, computer vision, and wireless communication Background in ML data pipelines, data management, backend/frontend applications Research excellence with publications in NeurIPS, CVPR, ICML, ICLR, ICCV Experience in object-oriented software design (OOSD)</p>