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
- 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"
