Research Engineer Graduate (Seed Model - AI Foundation Model Infrastructure) - 2027 Start (PhD)

What you'll do

• Design scalable infrastructure for model training, evaluation, and inference.
• Optimize distributed training systems and improve reliability, efficiency, and observability.
• Develop evaluation, data-processing, and model lifecycle frameworks; co-design systems and algorithms to improve model performance.

What they ask for

• Completing or recently completed a PhD in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
• Proficient in C/C++ or Python, with strong coding, data structures, and fundamental algorithm skills.
• Experience in distributed systems, large-scale training infrastructure, or ML systems.
• Familiarity with deep learning frameworks and system optimization.

Nice to have

• Strong problem-solving and engineering skills.
• Strong communication and collaboration skills.

Tools

C/C++, Python

AI focus

Infrastructure for AI foundation model training, evaluation, inference, and performance optimization.