LLM Research Scientist: Pretraining, Tuning & Reasoning
ByteDance
ByteDance’s Seed LLM team is advancing the next generation of large language models, tackling pre-training, post-training, inference, memory, learning, and interpretability. The role focuses on exploring models, data construction, instruction tuning, and optimization to improve reasoning and related abilities. The ideal candidate is pursuing a PhD with a 2027 graduation window and strong coding skills in C/C++ or Python, plus hands-on experience with large-scale ML systems and collaborative #J-18808-Ljbffr ByteDance
Vacancy posted 4 days ago
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...control plane for large‑scale LLM inference. We are building the... ...primitives for AI workloads Bridging research breakthroughs with production... ..., combined with intelligent tuning of time‑series databases to... ...skills and the ability to reason about complex system design....Temporary workLocal area- ByteDance's system infrastructure team is hiring graduates for 2027 to work on LLM/AI + Infrastructure projects, including TextToSQL and multimodal data processing. You will research, design, and deploy scalable systems, with opportunities to publish at top conferences...
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