Research Intern (India AI)

As a Research Intern (Machine Learning - Materials Science) at Shodh AI, your role will involve working at the intersection of machine learning, deep learning, and computational materials research. You will collaborate with research engineers and scientists to design, train, and optimize ML/DL models for various tasks in material science. This internship offers you the opportunity to contribute to foundational R&D in a fast-moving, impact-focused environment. **Key Responsibilities:** - **End-to-End Model Development:** Take ownership of the full lifecycle of research features, from data preprocessing to model implementation, training, evaluation, and reporting. - **Design, Experiment, & Optimize:** Implement and rigorously test deep learning architectures such as CNNs, ViTs, GNNs, and Diffusion Models. Conduct ablations, hyperparameter optimization, and model benchmarking. - **Ensure Reproducibility & Research Discipline:** Write clean, modular, well-documented code. Use Git, experiment tracking tools, and maintain high-quality research logs. - **Drive Technical Exploration:** Propose new ideas, improvements, and experimental directions across generative modeling, microstructure representation learning, and physics-informed ML. - **Collaborate & Communicate:** Work closely with a multidisciplinary team of ML engineers, materials scientists, and computational researchers. Present results, insights, and technical findings clearly. **Qualifications Required:** - **Academic Foundation:** Pursuing or recently completed a Bachelors/Masters degree in Computer Science, Materials Science, Data Science, Metallurgical/Mechanical Engineering, Applied Physics, or any related computational field. - **Technical Proficiency:** Strong command of Python, PyTorch (preferred), TensorFlow, deep learning concepts, scientific computing tools, and building and evaluating ML models on real-world datasets. - **ML & DL Fundamentals:** Solid understanding of optimization methods, loss functions, regularization, computer vision concepts, and model evaluation metrics. - **Research-Oriented Mindset:** Curiosity-driven, experimental, and comfortable reading research papers and implementing new ideas from the literature. *Note: Additional details about the company were not included in the provided job description.*,