Research Intern - AI for Science

About the Team

Sea Group is looking for research interns to join Sea AI Lab (SAIL). The lab works on both foundational and applied artificial intelligence research, spanning areas such as deep learning, reinforcement learning, computer vision, and natural language processing. As an intern, you will have the chance to contribute to core research initiatives and help drive algorithmic progress at the heart of SAIL’s projects.

This position requires a minimum commitment of 6 months. The team is especially interested in candidates who are eager to deepen the understanding of intelligence and are motivated by ambitious advances in AI.

Job Description

The role focuses on AI and scientific computing, with emphasis on first-principles methods and their algorithmic use in materials science and chemistry. The work may cover, but is not limited to, the following areas:

• Developing large-scale quantum chemistry algorithms and related software
• Building CUDA kernels for high-performance computation
• Creating and applying machine learning force-field methods
• Using large language models in materials science workflows
• Working on data-driven discovery for materials and molecules

The internship is expected to contribute to research that can be published in leading academic journals and conferences.

Requirements

• Current Master's or Ph.D. students in Computer Science, Computer Engineering, Artificial Intelligence, Mathematics, Computational Physics, Computational Chemistry, or another closely related quantitative field
• Strong coding ability in Python and/or other programming languages
• Hands-on familiarity with at least one differentiable computing framework such as JAX or PyTorch
• Prior experience with GPU kernel development tools like CUDA or Triton is an advantage
• Background in first-principles methods such as Density Functional Theory (DFT) or Quantum Monte Carlo (QMC) is an advantage
• Preference for applicants with first-author or co-authored publications in strong venues such as NeurIPS, ICML, ICLR, Physical Review series, Nature research series journals, JCTC, or JCP
• Ability to commit to at least 6 months of full-time or part-time work

Additional Information

To learn more about the research and the lab, visit the Sea AI Lab website.