Machine Learning Research Scientist Intern; Seed AI Science - Atomistic AI PhD

About the Team:

The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation. Our goal is to create breakthroughs in natural science with new methodology and help the world.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.

Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.

• Track cutting-edge research developments across the industry and work closely with the team to build deep and broad technical understanding of the field.
• Integrate methods from multiple disciplines, including machine learning, quantum chemistry, and molecular dynamics, to explore frontier applications in biology and materials science.
• Consolidate research outcomes from both the industry and internal teams, and help translate research into practical applications with broad impact.

Minimum Qualifications:

• Currently pursuing a Ph.D.; preferred majors include Computer Science, Mathematics, Physics, Computational Materials Science, Quantum Chemistry, or related fields.
• Strong communication and teamwork skills, a proactive 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 the ability to effectively orchestrate coding agents in development workflows.
• Meets at least one of the following criteria:
  Familiar with quantum chemistry algorithms, with experience in developing or using DFT/Post-HF computational tools or algorithms；Familiar with molecular dynamics engine development, with experience modifying the source code of LAMMPS or OpenMM；Familiar with machine learning algorithms, with hands-on experience in at least one of the following areas: LLMs, reinforcement learning, agents, or generative models；Familiar with solid-state physics, with hands-on experience in materials simulation and MLIP development；Familiar with statistical mechanics and enhanced sampling algorithms, with strong domain knowledge and development capability.
• Candidates with publications in top journals in related fields and/or strong industry experience will be preferred.

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $57- $57.

Benefits may vary depending on the nature of employment and the country work location.

• Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
• Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
• Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.

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