Machine Learning Research Scientist Intern (Seed AI for Science - Atomistic AI) - 2027 Start (PhD)

What you'll do

• Track industry research and develop technical understanding of the field with the team.
• Integrate methods from machine learning, quantum chemistry, and molecular dynamics to explore frontier applications in biology and materials science.
• Consolidate industry and internal research outcomes and help translate research into practical applications.

What they ask for

• Currently pursuing a Ph.D.
• Strong communication and teamwork skills, willingness to learn, and a conscientious, responsible work ethic.
• Proficiency in at least one programming language such as Python, C, C++, CUDA, or Triton, with solid engineering capability and ability to orchestrate coding agents in development workflows.
• Meet at least one stated specialization criterion: quantum chemistry; molecular dynamics; machine learning; solid-state physics and materials simulation/MLIP development; or statistical mechanics and enhanced sampling.

Nice to have

• Publications in top journals in related fields.
• Strong industry experience.

Tools

Python, C, C++, CUDA, Triton, LAMMPS, OpenMM

AI focus

Research combining machine learning with quantum chemistry and molecular dynamics for biology and materials science, including work involving LLMs, reinforcement learning, agents, generative models, or materials simulation and MLIP development.