Responsibilitie

We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company. Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume. Team Introduction: The Seed-AI for Science team applies AI to drive breakthroughs in scientific computing research paradigms, focusing on biological foundation models, quantum chemistry, and molecular dynamics. We are looking for candidates to join our team and conduct cutting-edge research in fundamental science, leveraging advanced machine learning techniques and large-scale computational infrastructure. Topic Content: Exploring research related to biomolecular design, quantum chemistry, multimodal large models for biomolecular structures, and machine learning-driven molecular dynamics. 1. Biomolecular Design: Developing multimodal foundational large models for the natural sciences, applied to the design, conformation generation, and structure prediction of proteins, DNA, RNA, and other biomolecules. 2. Quantum Chemistry: Conducting interdisciplinary research at the intersection of machine learning, quantum physics, and quantum chemistry to enable large-scale, high-precision scientific computing and numerical simulations. 3. Multimodal Biomolecular Structure Large Models: Building structure-centric multimodal large models for biomolecules, using a unified architecture to support key tasks including complex structure prediction, functional modeling, and molecular design. 4. Machine Learning Molecular Dynamics: Exploring the application of machine learning methods in force field development, molecular dynamics simulations, enhanced sampling, and other property calculation approaches, and scaling these for applications in drug discovery and materials discovery. Responsibilities: 1. Conduct interdisciplinary research at the intersection of machine learning and scientific computing, exploring applications of AI in scientific domains such as physics and chemistry. 2. Develop large-scale numerical simulations for scientific computing, improving computational efficiency and accuracy. 3. Collaborate with interdisciplinary teams to drive projects from research exploration to full engineering deployment.

Qualification

Minimum Qualifications: 1. Individuals who are completing or have recently completed a PhD degree in Computer Science, Machine Learning, Physics, Chemistry, Mathematics, or related fields. 2. Solid foundation in mathematics and strong programming skills. 3. Demonstrated ability for independent research and innovation, with the capacity to thrive in a fast-paced, interdisciplinary environment. 4. Strong interest in cutting-edge developments in artificial intelligence, with proficiency in using a wide range of AI tools.

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $218400 - $480000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

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

For Los Angeles County (unincorporated) Candidates:

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:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.