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 and continue participating in the program untilJune–July . 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?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. Design and implement image acquisition strategies for capturing 3D printed parts under controlled and repeatable conditions. 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. 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. facing quality assessment capability. Document experiments, datasets, models, and development processes, and present findings to engineering and business stakeholders. 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.

Experience with Git and collaborative software development practices.

Experience working with image datasets, data annotation, and dataset preparation.

Experience designing and building machine learning datasets from raw data, including image acquisition, data collection strategies, annotation guidelines, and quality control processes.

Experience with OpenCV, image processing, and image analysis techniques. Net, Mask R?Preferred: Familiarity with Databricks, cloud?based ML workflows, MLOps concepts, and model deployment. Fluent in English, both spoken and written.





Paid internship within a global, technologydriven company. Join an international work environment, with opportunities for learning, professional development, and networking across teams. Versátil 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. Opportunity to join the HP Graduate Program following the placement. 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 otherearly?On?sitemedical services, including access to a doctor, nutrition support, physiotherapy, and general healthcare. formatprints to 3D?printed models.

Women Network initiatives: Networking events, STEM promotion, business acumen talks, work–life balance sessions, andfuture?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). Learn more about HP personal data practices at Privacy Statement, Personal Data Rights Notice (where applicable), Accessibility at HP, and Terms.

📌 Ai & Computer Vision Engineering Intern (Barcelona)
🏢 HP
📍 Barcelona