AI Engineering Intern

At HP Barcelona, we are committed to reshaping the future of work through technology. As one of the world’s largest R&D centers, we bring together more than 800 engineers and deliver over 150 inventions annually. Our site serves as the global headquarters for the Large Format Printing and 3D Printing Business Units, driving innovation across software, firmware, and hardware development.

Beyond engineering, our Sales, Operations, Marketing, Supply Chain, Customer Support, and Finance teams work collaboratively to deliver exceptional customer experiences and continuously optimize processes. This ensures that HP remains agile and prepared to meet future challenges.

• →Analyze Performance and Refine Processes with AI
  • →Apply AI-assisted analysis and anomaly detection to assess data accuracy, evaluate tool effectiveness, and uncover patterns in operational data.
  • →Translate AI-generated insights into actionable process improvements, validating findings against business requirements and measurable outcomes.
• →Collaborate with Cross-Functional Teams to identify high-value AI use cases, define requirements, and integrate AI-enabled solutions into workflows with appropriate human oversight.
• →Develop an AI-Enabled Monitoring and Control Tool
  • →Build a user-friendly, real-time monitoring tool that uses AI to detect data anomalies, flag discrepancies between expected and actual results, and prioritize issues for investigation.
  • →Provide clear alerts and explainable insights to support timely decisions; validate AI outputs, protect sensitive data, and monitor model performance to maintain reliability.

• Currently enrolled in a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a closely related field such as Mathematics, Statistics, or Industrial Engineering, with a focus on programming and data analytics.
• Technical skills:Working knowledge of Python for data analysis, including pandas and NumPy. Working knowledge of SQL for querying and validating data. Understanding of statistics and machine learning fundamentals, including anomaly detection and model evaluation. Familiarity with data visualization tools such as Power BI or similar platforms. Exposure to AI-assisted development, APIs, Git, and responsible AI practices, including data privacy, explainability, and human validation, is a plus. Skills gained through coursework or academic projects are welcome.
• Soft skills:Analytical thinking and structured problem-solving. Attention to detail and willingness to question and validate AI-generated results. Ability to communicate technical findings clearly to non-technical audiences. Strong collaboration skills and ability to work across teams. Curiosity and eagerness to learn. Ability to organize tasks, take initiative, and seek guidance when needed.
• Fluent in English, both spoken and written.

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"