Student Researcher; AI Foundation Model Infrastructure - Seed PhD

Responsibilities

About the team:
The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.

• Conduct research on infrastructure and systems for large‑scale models.
• Explore methods to improve efficiency, scalability, and reliability across areas such as training platforms, inference systems, compilers, and distributed systems.
• Design and prototype system components, algorithms, or frameworks.
• Collaborate with the team to advance research directions.

• Currently pursuing a PhD in computer science, mathematics, engineering, or a related field.
• Strong programming skills and solid foundation in algorithms, data structures, and systems, proficient in Python or C/C++.
• Research or internship experience related to large‑scale systems, inference optimization, compilers, or performance optimization.

• Strong problem‑solving and engineering skills.
• Ability to collaborate effectively in a research environment.

【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.

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:

• 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.