Research Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (BS/MS)
Location: Seattle
Team: Technology
Employment Type: Regular
Job Code: A238983Responsibilities
Design and build scalable infrastructure for large-scale model training, evaluation, and inference. Optimize distributed training systems across compute, memory, and communication. Improve system reliability, efficiency, and observability for large-scale workloads. Develop frameworks for evaluation, data processing, and model lifecycle management. Co-design systems and algorithms to improve performance of foundation models.
Qualifications
Minimum Qualifications:
Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027.Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc. Demonstrated interest or project experience in relevant areas.
Preferred Qualifications:
Experience in distributed systems, machine learning systems, or related areas through internships is preferred.
Strong problem-solving and collaboration skills.
Base salary range for this position in the selected city is $202160 - $368220 annually.
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).Equal Employment Opportunity (Los Angeles County)
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.
