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Open nowPosted 45 days ago

VLA大模型实习生

agirobot/internrecruitment367 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen nowVLA大模型实习生agirobot/internrecruitment · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. agirobot/internrecruitment postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 45 days ago

agirobot/internrecruitment median: 2 days open

The posting

本岗位聚焦机器人VLA(视觉-语言-动作)大模型落地落地闭环,核心负责VLA模型在实体机器人平台的真机适配、部署调试、数据迭代与效果优化,打通“数据采集-数据治理-模型微调-真机验证-迭代落地”全流程。助力团队实现VLA模型在机器人实操场景的稳定落地与性能迭代,全程参与真实项目攻坚,快速掌握具身智能前沿落地技术。 岗位职责 1. VLA模型落地部署与调试:参与开源/自研VLA模型(OpenVLA、π0等)在机械臂、移动机器人等实体设备上的移植、推理部署与联调,解决模型推理延迟、动作不精准、指令适配等真机落地问题,保障模型输出动作可执行、可复现。 2. 机器人数据闭环建设:负责机器人真机/仿真场景下的多模态数据采集、清洗、筛选、标注校验,搭建标准化数据处理pipeline;深度把控训练数据质量,识别数据噪声、时序错位、场景缺失、标注误差等问题,优化数据配比与采样策略,支撑模型微调迭代。 3. 模型效果迭代与评测:配合完成VLA模型微调、效果测评、问题归因,针对机器人抓取、导航、场景交互等实操场景的效果短板,从数据、参数、推理策略维度提出优化方案并落地验证。 4. 落地流程标准化:整理VLA落地全流程文档、测试报告与优化方案,沉淀可复用的机器人VLA部署规范、数据治理标准,协助团队搭建落地评测基准。 5. 前沿技术跟进:快速跟进VLA、具身智能、机器人模仿学习等前沿技术,结合业务落地场景完成技术调研与适配验证,支撑项目技术迭代。

承担主要目标/关键任务 任职要求 1. 专业背景:计算机、人工智能、自动化、机器人工程、电子信息等相关专业,本科及以上在读,大三、研一、研二优先。 2. 核心经验(硬性优先):具备机器人项目实操经验(机械臂、移动机器人、ROS/ROS2开发等),同时有VLA/多模态大模型、具身智能、机器人策略学习相关项目、实训或科研经验者优先。 3. 数据能力:深刻理解AI模型训练的数据逻辑,具备极强的数据质量认知,熟悉数据清洗、降噪、数据集划分、类别平衡、数据泄漏规避等核心方法,能够独立发现并解决数据问题。 4. 技术基础:熟练使用Python,熟悉PyTorch/TensorFlow框架;了解机器人基础参数(关节状态、末端位姿、时序同步等),掌握基础模型推理、微调流程。 5. 综合素质:学习能力极强,对新生技术敏感,能快速上手陌生模型与机器人硬件适配;逻辑清晰,擅长问题拆解与归因,抗压能力强,愿意深耕落地工程问题。 6. 其他:做事严谨细致,具备良好的代码规范和文档沉淀习惯,有自动驾驶、具身智能、机器人算法落地实习经历者优先。

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