AI & Computer Vision Engineering Intern

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

AI & Computer Vision Engineering Intern
Description -
Before applying please note that, to be eligible for this position, you must be currently enrolled at a university in Spain , remain enrolled until the end of the internship, and be eligible to sign an internship agreement with your university. You must also be available to start the internship in February 2027  and continue participating in the program until  June–July 2027 .

About the role
Join HP Additive Manufacturing (HPAM), one of HP's most innovative and fast-growing businesses, where breakthrough technologies are transforming the future of digital manufacturing. This is a unique opportunity to contribute to next-generation industrial 3D printing solutions while working at the intersection of artificial intelligence, computer vision, and additive manufacturing.  
As part of a highly collaborative organization, you will work with experts across R&D, Quality, Manufacturing, and Data Science to develop an AI-powered visual inspection solution for 3D printed parts. The goal is to automate the evaluation of print quality and detect manufacturing defects through images, helping improve consistency, efficiency, and scalability of quality assessment processes.  
This internship offers hands-on experience with real-world industrial challenges, including building image acquisition strategies, creating and annotating datasets, defining defect taxonomies, and developing machine learning models capable of identifying defects such as porosity, bubbles, alignment issues, elephant skin, and other surface anomalies. You will have the opportunity to work on a project that could evolve from an internal efficiency tool into a customer-facing capability integrated into future HP 3D printing workflows.

Key responsibilities:  
Design and implement image acquisition strategies for capturing 3D printed parts under controlled and repeatable conditions.  
Build a high-quality computer vision dataset, including image collection, organization, and annotation.  
Develop computer vision and deep learning models to automatically identify and classify print quality defects.  
Evaluate and compare classification, object detection, and segmentation approaches.  
Develop image preprocessing, augmentation, and data preparation pipelines to improve model performance and robustness.  
Analyze model performance and define validation methodologies and success metrics.  
Collaborate with quality and manufacturing experts to understand defect characteristics and improve model accuracy.  
Explore automated inspection workflows, including multi-view image acquisition and solutions that can evolve from an internal evaluation tool into a customer-facing quality assessment capability.  
Document experiments, datasets, models, and development processes, and present findings to engineering and business stakeholders.

Requirements:  
Currently enrolled in a Master's degree in Computer Science, Artificial Intelligence, Data Science, Computer Vision, Robotics, or a related field, with at least 12 months of university enrollment remaining.   
Strong Python programming skills and solid understanding of machine learning, deep learning, and computer vision fundamentals.   
Experience with PyTorch and/or TensorFlow for model development and Tensorboard and/or MLFlow for experiment tracking.   
Familiarity with image classification, object detection, segmentation, and model evaluation methodologies.   
Experience with Git and collaborative software development practices.   
Preferred: Experience working with image datasets, data annotation, and dataset preparation.   
Preferred: Experience designing and building machine learning datasets from raw data, including image acquisition, data collection strategies, annotation guidelines, and quality control processes.   
Preferred: Experience with OpenCV, image processing, and image analysis techniques.   
Preferred: Experience with object detection and segmentation models such as YOLO, Faster R-CNN, DETR, U-Net, Mask R-CNN, or similar architectures.   
Preferred: Familiarity with Databricks, cloud-based ML workflows, MLOps concepts, and model deployment.   
Strong analytical thinking, problem-solving skills, attention to detail, curiosity, and ability to work independently in an exploratory research environment.   
Excellent communication and collaboration skills, with the ability to work effectively with multidisciplinary teams and domain experts.  
Fluent in English, both spoken and written

Experience our benefits :  
Paid internship within a global, technology driven company.   
Join an international work environment, with opportunities for learning, professional development, and networking across teams.   
Flexible working schedule, with options for part-time agreements (4 hours/day) or full-time (8 hours/day).  The length of the internship ranges from 4 to 12 months.   
Access to our intern community, including career development workshops, learning sessions, and social activities that help you grow professionally and connect with other interns.   
Mentor assigned.   
Opportunity to join the HP Graduate Program following the placement.   
Lunch at reduced prices at our canteen.   
Access to our on‑site sports center, including:   
Gym facilities   
Squash, tennis, and basketball courts   
25+ organized sports and wellness activities, such as HIIT training, squash, basketball, and yoga   
Participation in the NextGen Employee Network, offering regular events and opportunities to connect with other early‑career professionals.   
On‑site medical services, including access to a doctor, nutrition support, physiotherapy, and general healthcare.   
Free printing access and hands‑on workshops using the latest HP technologies — from large‑format prints to 3D‑printed models.   
Easy commuting: Free parking available or excellent access via nearby train services.   
Women Network initiatives: Networking events, STEM promotion, business acumen talks, work–life balance sessions, and future‑skills development.

Sounds like you? Please apply and let’s talk!

Legal entity: GBU

Job -
Administration
Schedule -
Part time
Shift -
No shift premium (Spain)
Travel -

Relocation -
Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s   EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "

人工智能与计算机视觉工程实习生

描述 -
申请前请注意，要符合此职位条件，您必须目前在西班牙的大学就读，并保持注册状态直至实习结束，且有权与您的大学签订实习协议。您还必须能够在2027年2月开始实习，并继续参与该计划直至2027年6月至7月。

关于此职位
加入HP增材制造(HPAM)，这是HP最具创新性和快速增长的业务之一，突破性技术正在改变数字制造的未来。这是一个独特的机会，可以在人工智能、计算机视觉和增材制造的交叉点上为下一代工业3D打印解决方案做出贡献。

作为高度协作组织的一部分，您将与研发、质量、制造和数据科学领域的专家合作，为3D打印部件开发AI视觉检测解决方案。目标是通过图像自动化评估打印质量并检测制造缺陷，帮助提高质量评估流程的一致性、效率和可扩展性。

本实习提供处理实际工业挑战的实践经验，包括构建图像采集策略、创建和标注数据集、定义缺陷分类法，以及开发能够识别孔隙、气泡、对齐问题、象皮病和其他表面异常等缺陷的机器学习模型。您将有机会参与一个项目，该项目可能从内部效率工具演变为集成到未来HP 3D打印工作流程中的面向客户的功能。

主要职责：
设计和实施在受控和可重复条件下捕获3D打印部件的图像采集策略。
构建高质量的计算机视觉数据集，包括图像收集、组织和标注。
开发计算机视觉和深度学习模型，自动识别和分类打印质量缺陷。
评估和比较分类、目标检测和分割方法。
开发图像预处理、增强和数据准备流程，以提高模型性能和鲁棒性。
分析模型性能，并定义验证方法和成功指标。
与质量和制造专家合作，了解缺陷特征并提高模型准确性。
探索自动化检测工作流程，包括多视图图像采集，以及可以从内部评估工具演变为面向客户的质量评估能力的解决方案。
记录实验、数据集、模型和开发过程，并向工程和业务利益相关者展示发现。

要求：
目前就读于计算机科学、人工智能、数据科学、计算机视觉、机器人学或相关领域的硕士学位，且至少还有12个月的大学注册时间。
扎实的Python编程技能，以及对机器学习、深度学习和计算机视觉基础知识的深入理解。
使用PyTorch和/或TensorFlow进行模型开发的经验，以及使用Tensorboard和/或MLFlow进行实验跟踪的经验。
熟悉图像分类、目标检测、分割和模型评估方法。
具有Git和协作软件开发实践经验。
具有图像数据集、数据标注和数据集准备经验者优先。
具有从原始数据设计和构建机器学习数据集的经验，包括图像采集、数据收集策略、标注指南和质量控制流程者优先。
具有OpenCV、图像处理和图像分析技术经验者优先。
具有目标检测和分割模型经验，如YOLO、Faster R-CNN、DETR、U-Net、Mask R-CNN或类似架构者优先。
熟悉Databricks、基于云的ML工作流、MLOps概念和模型部署者优先。
强大的分析思维能力、解决问题的能力、注重细节、好奇心，以及在探索性研究环境中独立工作的能力。
出色的沟通和协作能力，能够有效地与跨学科团队和领域专家合作。
英语流利，口语和书面表达能力俱佳。

体验我们的福利：
在全球化、技术驱动公司获得带薪实习。
加入国际工作环境，有机会在团队间学习、专业发展和建立人脉网络。
灵活的工作安排，可选择兼职协议(每天4小时)或全职(每天8小时)。实习期限为4至12个月。
加入我们的实习生社区，包括职业发展研讨会、学习课程和社交活动，帮助您专业成长并与其他实习生建立联系。
分配导师。
实习结束后有机会加入HP毕业生计划。
以优惠价格在我们的食堂享用午餐。
使用我们现场体育设施的权限，包括：
健身房设施
壁球、网球和篮球场
25多项组织性体育和健身活动，如高强度间歇训练、壁球、篮球和瑜伽
参与NextGen员工网络，提供定期活动和与其他早期职业专业人士建立联系的机会。
现场医疗服务，包括医生咨询、营养支持、理疗和一般医疗服务。
免费打印权限和使用最新HP技术的实践工作坊——从大幅面打印到3D打印模型。
便捷的交通：提供免费停车或通过附近火车线路的便利通道。
女性网络倡议：网络活动、STEM推广、商业头脑讲座、工作与生活平衡会议和未来技能发展。

法律实体：GBU
工作 - 管理
时间安排 - 兼职
轮班 - 无轮班津贴(西班牙)
旅行 -
搬迁 -
平等机会雇主(EEO) -
HP, Inc.向所有员工和潜在员工提供平等就业机会，不因种族、肤色、宗教、性别、国籍、血统、公民身份、性取向、年龄、残疾或受保护退伍军人身份、婚姻状况、家庭状况、身体或精神残疾、医疗状况、怀孕、遗传倾向或携带者状态、制服服务身份、政治派别或适用国家、联邦、州和地方法律保护的其他任何特征而有所歧视。

请放心，如果您选择披露所要求的信息，您不会受到任何不利对待。此信息自愿提供。所获信息将严格保密。

有关更多信息，请查阅HP的平等就业机会政策，或在此处阅读您作为申请者在法律下的权利："了解您的权利：职场歧视是非法的"

⚑ 岗位信息收录自公开招聘页（ATS 官方），以雇主官网为准