Junior Research Scientist, Polymathic AI - New York University

Key Responsibilities Design, implement, and evaluate foundation models (e.g., large language models, diffusion models) tailored for scientific data analysis. Develop scalable training pipelines using Python and deep‑learning frameworks such as PyTorch and TensorFlow. Collaborate with domain experts to integrate AI solutions into interdisciplinary research projects. Conduct experiments to improve model interpretability, robustness, and performance across diverse scientific tasks. Publish research findings in top conferences and journals, and contribute to open‑source scientific AI tools. Requirements Master’s or Ph.D. in Computer Science, Machine Learning, Computational Science, or a related field. Strong programming skills in Python and experience with deep‑learning libraries (PyTorch, TensorFlow). Hands‑on experience with large language models, diffusion‑based generative models, or similar foundation model architectures. Demonstrated ability to apply machine‑learning techniques to scientific problems and to communicate results effectively. Proactive, collaborative mindset with a passion for advancing AI‑driven scientific research. #J-18808-Ljbffr Gravity Engineering Services Pvt Ltd.