AI Large Model Algorithm Engineer AI 模型演算法工程師

15~20K 人民币/每月

全职
1~3年
刷新于 5 个月前
103 查看
12 申请
深圳
分享
工作职责
1. Deeply engage in the R&D of multimodal large model foundations for embodied intelligence, optimizing model accuracy and training efficiency; 2. Deeply engage in developing visual capabilities for multimodal large models, including visual-video-language alignment, visual token compression, and enhancing spatio-temporal understanding; 3. Deeply engage in fine-tuning multimodal large models for embodied scenarios, leveraging techniques such as SFT, instruction fine-tuning, DPO, and GRPO for optimization; 4. Build high-quality training and testing datasets for embodied intelligence scenarios, establishing efficient evaluation metrics and data cleaning/annotation tools. 1、深度參與面向具身智能的多模態大模型基座的研發工作,優化大模型的精度與訓練效率; 2、深度參與多模態大模型的視覺能力研發,包括視覺視頻語言對齊,視覺Token壓縮,時空間理解能力提升等工作; 3、深度參與多模態大模型在具身場景的微調,利用包括SFT, 指令微調,DPO, GRPO等技術進行優化; 4、面向具身智能場景,構建高質量的訓練與測試數據集,搭建高效的評測標準與清洗標注工具。
职位要求
1. Master the theoretical foundations and algorithms of artificial intelligence, pattern recognition, and deep learning; 2. Understand large-scale model technologies; preference given to candidates with publications in top-tier journals/conferences such as CVPR, ICCV, ICLR, ICML, and NeurIPS; 3. Proficient in C/C++ and Python programming, with familiarity in Linux and ROS systems; 4. Possess strong teamwork and communication skills, along with excellent learning capabilities. 1.掌握人工智慧、模式識別、深度學習理論基礎和演算法; 2.瞭解大模型相關技術,在CVPR,ICCV,ICLR,ICML,NeruIPS等TOP期刊會議發表論文者優先; 3.熟悉C/C++和Python編程,熟悉Linux系統和ROS系統; 4.具備良好的團隊協作能力和溝通能力,具備良好的學習能力。
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