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Machine Learning Backend Engineer Graduate (AML MLdev) - 2027 Start
A graduate-level role focused on optimizing machine learning model performance by applying graph optimization, kernel fusion, and high-performance kernel libraries to improve computational efficiency and inference/training speed for Bytedance’s AI systems.
Research Scientist Graduate (Applied Machine Learning - ML System) - 2026 Start (PhD)
A PhD-level researcher focused on optimizing large language model (LLM) and reinforcement learning frameworks, including distributed training/inference and GPU/CUDA performance tuning for scalable AI systems.
Machine Learning Engineer, AML - Engine (Multiple Positions)
Develops high-performance ML models and optimizes deep learning pipelines to balance accuracy and execution speed for Bytedance’s AI-driven systems.
Applied Scientist - LLM Training System as a Service - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Build and optimize large language model training and inference systems, including reinforcement learning frameworks, using GPU/CUDA for ByteDance’s AI products.
Research Engineer - LLM/VLM Inference Optimization (Seed Infra)
Design and build high-performance inference engines for large language and vision-language models, optimizing latency, throughput, and cost while collaborating with research teams.