Model Infrastructure Engineer Graduate (Recommendation Architecture) - 2026 Start (BS/MS)
BYTEDANCE PTE. LTD.
Singapore, Singapore
Competitive compensation; stock options; not speci...
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C++/cuda/trition/python programming skills
Gpu architecture familiarity
Distributed training experience
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ByteDance is seeking a Model Infrastructure Engineer Graduate to join their Recommendation Architecture team in Singapore, starting in 2026. The role focuses on optimizing AI infrastructure for deep learning models, particularly on GPU platforms, and requires strong programming skills and familiarity with GPU architecture.
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Job Summary
The team is responsible for building and optimizing the recommendation system's architecture to provide the best user experience.
Candidates will work on optimizing Large Language Models (LLMs) and large-scale recommender models on GPU platforms.
The role offers opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth in a diverse global team.
Matching Summary
Match Score: 75
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ByteDance is seeking a Model Infrastructure Engineer Graduate to join their Recommendation Architecture team in Singapore, starting in 2026. The role focuses on optimizing AI infrastructure for deep learning models, particularly on GPU platforms, and requires strong programming skills and familiarity with GPU architecture.
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Salary
Competitive compensation; Stock options; Not specified
Skills & Requirements
Must-have
C++/CUDA/Trition/Python programming skills
GPU architecture familiarity
Distributed training experience
Nice-to-have
Production-grade training system experience
LLM memory efficiency optimization
Open-source project contributions
Key Requirements
Bachelor's or Master's degree in Computer Science or related field