英伟达Deep Learning Solution Architect
社招全职地点:北京状态:招聘♡ 收藏
工作描述
任职要求 • MS or PhD in Computer Science, Artificial Intelligence, Mathematics, or related fields, with solid foundations in algorithms and programming. • 5+ years of experience (including research) in Reinforcement Learning, Large Language Model training, or multimodal learning. • Proficient in PyTorch and familiar with RL training frameworks and workflows. • Strong engineering skills with experience in distributed training, task orchestration, or evaluation pipelines. • Ability to work independently with minimal day-to-day direction, and willingness to conduct exploratory experiments on frontier problems. • Desire to be involved in multiple diverse and innovative projects. • Outstanding verbal and written communication skills. Ways to stand out from the crowd: • Experience with RLHF, GRPO, DPO, or other alignment and post-training methods for LLMs. • Experience with scale-out HPC or…
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包括英文材料
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具,在灵活性、可读性和性能上都具备相当的优势,近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
RLHF+
[英文] What is RLHF?
https://aws.amazon.com/what-is/reinforcement-learning-from-human-feedback/
Reinforcement learning from human feedback (RLHF) is a machine learning (ML) technique that uses human feedback to optimize ML models to self-learn more efficiently.
https://www.ibm.com/think/topics/rlhf
Reinforcement learning from human feedback (RLHF) is a machine learning technique in which a “reward model” is trained with direct human feedback, then used to optimize the performance of an artificial intelligence agent through reinforcement learning.
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