HP

College Intern - Machine Learning and Artificial Intelligence

HP Singapore

IT Services and IT Consulting · 10,001+ employees

Yesterday
machine-learning Junior (0-2 yrs) Internship Full-time Singapore
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About the role

The intern will develop machine learning models for object detection and anomaly detection in printed images. They will also create a user-friendly interface for image analysis and provide comprehensive documentation and performance reports.

What they look for

Machine Learning Artificial Intelligence Object Detection Anomaly Detection Root Cause Analysis Dashboarding Data Annotation Image Processing Computer Science Model Training Performance Evaluation Prototyping

Requirements

Candidates must be undergraduate students in Computer Science, Artificial Intelligence, or related fields. Applicants must be able to commit to a 5-6 month full-time internship starting in January 2027.

Full description

College Intern - Machine Learning and Artificial Intelligence

Description -

What a College Intern - Machine Learning and Artificial Intelligence does at HP:

  • This project aims to develop a system using machine learning (ML) and artificial intelligence (AI) to analyze printed images (documents, mixed graphics, photo, etc), focusing on object recognition and anomaly detection (print artifacts, design flaws) and potential root cause analysis to meet various customer segments.
  • Develop cutting-edge models for object detection
  • Implement robust anomaly detection for spotting print artifacts, misprints, distortions and design flaws, with potential root cause analysis.
  • Create a user-friendly interface for image upload, analysis and dashboarding.

Key Deliverables and Success Criteria:

  • Annotated dataset of print images.
  • Trained machine learning models for object detection, anomaly detection and potential root cause analysis.
  • Create working prototype or application for uploading, analyzing print images and results dashboarding.
  • Documentation and performance evaluation report with the results and analysis of the model.
  • Accurate object detection, anomaly identification and root cause analysis system from variety of printed images for various customer segments.
  • An intuitive and easy to use system that performs efficiently for processing large volumes of images with comprehensive dashboarding.

Individuals who do well in this role at HP, usually possess:

  • Undergraduate in Computer Science, Artificial Intelligence or related studies.
  • Able to commit for a 5-6 months full time internship, starting in January 2027.
  • Familiarity with Machine Learning, Root Cause Analysis, Dashboarding.

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.

 

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Job -

Administration

Schedule -

Full time

Shift -

No shift premium (Singapore)

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"

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