Post #201929

[酷工作] 美国硅谷 AI 独角兽公司，招聘 LLM Pre-Training Researcher（base 新加坡） 美国 AI 独角兽公司（排名前五），在新加坡设置研发中心，寻找 LLM Pre-Training Researcher （ base 新加坡），对标硅谷薪资水平，顶尖技术团队。 About the Role Join a leading AI research company at the forefront of large language model development. As an LLM Pre-Training Researcher, you will shape the future of foundation models by working across the entire model lifecycle — from large-scale pre-training to post-training alignment. This role offers the rare opportunity to operate at the cutting edge of scaling laws, reasoning, and alignment, directly influencing how next-generation language models learn and behave in real-world applications. Key Responsibilities • Architect and scale large autoregressive language models, designing improved pre-training objectives to enhance reasoning and knowledge retention • Develop mid-training strategies including continued pre-training, domain adaptation, curriculum learning, and synthetic data integration • Advance post-training techniques such as instruction tuning, preference optimization, reinforcement learning, and inference-time compute scaling • Curate and construct massive, high-quality text corpora for pre-training while designing synthetic data pipelines for reasoning and structured problem solving • Train frontier-scale language models across large GPU clusters, optimizing distributed training and memory efficiency • Build infrastructure for large-scale experimentation, ablations, and reproducibility to support scalable deployment • Define evaluation frameworks for language intelligence including multi-step reasoning, coding, knowledge grounding, and agentic behavior • Track capability development across training phases and close the loop between evaluation signals and model improvements Requirements • Strong foundation in machine learning and large language models with deep understanding of autoregressive transformers • Hands-on experience with PyTorch and distributed training at scale in both research and production environments • Experience with pre-training large models and post-training techniques such as instruction tuning, RLHF, or preference optimization • Experience training frontier-scale language models from scratch (is a bonus) • Research contributions in scaling laws, reasoning, alignment, or inference-time compute (is a bonus) • Expertise in long-context modeling or structured reasoning systems (is a bonus) 有意者请联系 WX：sophia_liu611 或者 email： [email protected]