FY26 Intern- Machine Learning/AI Software Intern

Design and develop end-to-end test strategies and frameworks for complex software systems Create and maintain automated test suites using modern testing tools and frameworks Participate in code reviews and contribute to improving test coverage Collaborate with cross-functional teams to understand requirements and design test approaches Analyze test results and provide detailed feedback to development team Conduct experiments to reproduce and optimize accuracies and performance of models. Related papers reading and summarization and presentation. Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, EE, or a related field. Experience in large language model (LLM), vision-language model (VLM), and large vision model (LVM), including diffusers, multi-modality, CNNs, RNN/LSTMs, Transformer, and others. Experience in Model quantization and compression, deployment in smartphones or other edge devices. Strong mathematical skills - good foundations of linear algebra, matrix, differential algebra, statistics. Have strong skill in C++ and Python programming Experience in machine learning/deep learning algorithms and architectures, including CNNs, RNN/LSTMs, Transformer, LVM, LLM Hands-on experience with ML frameworks, such as TensorFlow, PyTorch and Onnx Runtime Have knowledge in on-device AI models deployment is a plus Have knowledge in llama.cpp or ExecuTorch is a plus