AI & Computer Vision Engineering Intern

HP; Sant Cugat del Vallès; On-site; EUR 6,700 - 11,000; Full time

Benefits offered by this job

Paid internship

Mentor assigned

HP Graduate Program

Job summary

HP Additive Manufacturing is seeking an AI & Computer Vision Engineering Intern in Spain. You will work with R&D and Data Science to build an AI-powered visual inspection system for 3D printed parts, handling data collection, annotation, and model development.

This paid internship requires university enrollment in Spain and availability from February to June/July 2027. Responsibilities include designing image acquisition strategies, building datasets, and evaluating ML models for defect

Qualifications

• Currently enrolled in a Master's program and eligible to sign an internship agreement with your university.
• Able to stay enrolled through internship end date and start February 2027.

Responsibilities

• Design and implement AI-powered visual inspection workflows for 3D printed parts.
• Build and annotate a high-quality CV dataset for defect detection.
• Develop ML models to identify porosity, alignment issues, and surface defects.
• Evaluate model performance using classification, detection, and segmentation approaches.
• Document experiments and present findings to engineering teams.

Skills

Python programming

Machine learning

Computer vision

English fluency

Git

Education

Master's student in CS/AI/Data Science

Tools

PyTorch

TensorFlow

OpenCV

MLflow / TensorBoard

Job description

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 2027and continue participating in the program untilJune–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, technologydriven 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.
• Mentorassigned.
• Opportunity to join the HP Graduate Program following the placement.
• Lunch at reduced prices at our canteen.
• Access toouron‑sitesports 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 otherearly‑careerprofessionals.
  • On‑sitemedical services, including access to a doctor, nutrition support, physiotherapy, and general healthcare.
  • Free printing access andhands‑onworkshops using the latest HP technologies — fromlarge‑formatprints 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, andfuture‑skillsdevelopment.

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. 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”

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