AGIBOT

大模型训练算法实习生

AGIBOT  •  Onsite  •  39 minutes ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

大模型训练算法实习生

深圳

实习

职位描述

面向具身智能 / 人形机器人场景,在导师指导下参与大模型(LLM / VLM / VLA)的数据构建、微调训练与评估实验,通过真实项目积累大模型训练实战经验。核心看点是深度学习与大模型基础扎实、动手跑实验能力强、学习速度快。 有量化或端侧部署经验者加分。 岗位职责 数据构建:协助多模态(视觉 / 语言 / 动作)训练数据的清洗、合成、格式转换与质检;参与 SFT / 偏好数据集的构建,探索数据配比对效果的影响。 模型训练与微调:在已有训练框架基础上,开展 SFT、LoRA / QLoRA、DPO 等微调实验;跟踪 loss 与指标,分析收敛、过拟合等问题,整理实验结论。 评估体系:协助搭建评测集与自动化评测脚本,对比不同数据 / 超参 / 训练策略的效果,输出分析报告。 小模型与压缩探索(加分方向):在兴趣与时间允许下,尝试蒸馏、量化(GPTQ / AWQ 等现成工具)和端侧推理(llama.cpp / ONNX Runtime / TensorRT)的小实验。 工具与文档:编写训练 / 评测辅助脚本,整理实验记录与技术文档。 岗位要求 计算机 / 自动化 / 电子 / 数学等相关专业,2028 届本科 / 硕士 / 博士在读(毕业时间 2028 年)。 熟悉 Python,熟练使用 PyTorch;了解 Hugging Face Transformers 等常用生态。 掌握深度学习基础:Transformer、Attention、Tokenizer、Embedding、Loss 与优化器等基本原理。 至少有以下一项经历即可:课程 / 课题 / 竞赛 / 个人项目中训练或微调过模型(不限规模,小模型亦可);用 LoRA 等方法微调过开源大模型;读过并尝试复现过大模型相关论文或开源项目。 实习时间:每周 4 天及以上,连续 3 个月及以上,可尽快到岗。 加分: 训练侧:有 LLM / VLM / VLA 微调实战;了解分布式训练(DeepSpeed / FSDP);了解 RLHF / DPO;有可复现成果。 量化 / 端侧:了解或用过模型量化(INT8 / INT4、GPTQ、AWQ);有 TensorRT / ONNX / llama.cpp / MNN 等端侧推理经验;会 C++。 其他:熟悉 Linux / Git / Docker;有机器人 / 自动驾驶方向经历;有开源贡献、论文或竞赛获奖(非硬性)。

职位要求

投递

AGIBOT

About AGIBOT

AgiBot builds world-leading general-purpose embodied robots and their application ecosystem by pioneering into the fusion and innovation of AI and robotics. AgiBot was founded in February 2023 by seasoned industry experts, including core executives from global technology leaders and top AI scientists. During its development, AgiBot has received ardent support and guidance from senior Chinese leaders. It has been invited on multiple occasions to serve as an industry representative and brief on the progress of the embodied intelligence sector.

Leveraging its industry-leading “1 Ontology + 3 Intelligence Interaction” architecture - built on the robotic embodiment that integrates manipulation, interaction, and locomotion intelligence - AgiBot has launched three robot series (AgiBot A2, Genie, and AgiBot X2) and the industry's first universal embodied foundation model, the "Genie Operator-1 (GO-1)”. This makes AgiBot the only company in the sector with a full product portfolio and comprehensive scenario coverage. AgiBot has also established a leading full-stack ecosystem to empower partners and enable transformation across a wide range of industries.

With its cutting-edge product technologies and eco-system, AgiBot is one of the world's first companies to accomplish large-scale production and commercial deployment of embodied robots, with its products now available in multiple countries and regions. In January 2025, AgiBot made history by mass-producing its 1,000th general-purpose embodied robot, setting a new industry milestone.

Industry
Manufacturing & Production
Company Size
51-200 employees
Headquarters
Shanghai, CN
Year Founded
Unknown
Social Media