Research Scientist Graduates - (Seed Model - AI Foundation Model Infrastructure) - 2027 Start

What you'll do

• Design infrastructure for large-scale model training, evaluation, and inference.
• Optimize distributed training across compute, memory, and communication; improve reliability, efficiency, and observability.
• Develop evaluation, data processing, and model lifecycle frameworks, and co-design systems and algorithms for foundation model performance.

What they ask for

• Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field; expected to graduate in 2027 and able to start by the end of 2027.
• Excellent coding ability, data structures, and fundamental algorithm skills; proficiency in C/C++ or Python.
• Demonstrated interest or project experience in relevant areas.

Nice to have

• Internship experience in distributed systems, machine learning systems, or related areas.
• Strong problem-solving and collaboration skills.

Tools

C/C++, Python

AI focus

Develops infrastructure and systems for large-scale AI foundation model training, evaluation, inference, and performance optimization.