About the role#
This internship focuses on building connected, end-to-end datasets and workflows to improve R&D operations. You will work on data integration, validation, and the application of AI and machine learning to experimental data. The goal is to create efficient processes that help teams make better decisions.
What you'll do#
- Design and build connected datasets and repeatable data pipelines for R&D applications.
- Integrate data from multiple sources and improve data-joining processes.
- Develop validation methods to improve data quality, consistency, and reliability.
- Create Python and SQL solutions to streamline engineering workflows and reduce manual tasks.
- Apply AI and machine-learning methods to experimental data to identify patterns and generate insights.
- Document technical solutions, results, and recommended process improvements.
- Collaborate with engineering, software, and data stakeholders to deliver project objectives.
What you'll need#
- Currently pursuing a Ph.D. in Computer Science, Mechanical Engineering, Chemistry, Chemical Engineering, Data Science, or a related technical field.
- Must be enrolled full time at an accredited university.
- No more than 24 months of prior work experience professionally related to this role.
- Ability to obtain work authorization in the United States in 2027.
- Experience with programming, data analysis, databases, or engineering data workflows.
- Understanding of data integration, validation, and software-development principles.
- Strong analytical, project-management, and technical communication skills.
Location & details#
- Location: Corvallis, Oregon, United States.
- Modality: On-site.
- Employment: Full time, paid internship.
- Sponsorship: No work authorization sponsorship provided.
About HP
HP operates as a public company within the IT services and consulting sector. The business maintains a global presence with headquarters in Palo Alto, California. It employs over 143,000 people across various international offices. The organization provides technology products and services to a broad customer base.
How to get in at HP
Applying early at HP provides a distinct advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first, early applicants get seen before the pile grows. This helps you avoid the frustration of submitting your resume to a crowded queue that may already be closed. You can focus your energy on roles where your profile aligns with the team needs. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the role or a referral, which materially improves response rates. Connecting with a human at HP allows you to demonstrate your interest beyond a standard application form. It is a practical way to navigate the hiring process with more clarity.
