Student Researcher; AI Foundation Model Infrastructure - Seed PhD Seed Foundati Job Seattle area,Washington USA,Research/Development

Position: Student Researcher (AI Foundation Model Infrastructure - Seed) - 2027 Start (PhD) Seed Foundati[...]

Student Researcher (AI Foundation Model Infrastructure - Seed) - 2027 Start (PhD)

Location:

Seattle

Team:
Technology

Employment Type:

Intern

Job Code: A258974A

Responsibilities

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

Qualifications

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; proficiency 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.

Job Information

The hourly rate range for this position in Seattle is $57.

Benefits

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 the first half of the year, 40 if hired in the second half). Interns who are not working 100% remote may also be eligible for a housing allowance.

EEO Statement

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 with 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;

Exercising sound judgment.

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