Rigetti is looking for a motivated student (Bachelor’s, Master’s, or PhD in CS, SWE, or a related field) to build a production-focused, on‑premise data automation and computer vision system. This is a hands-on engineering role aimed at creating operational tools intended for future production deployment, not academic research.

The intern will develop a Python backend to handle structured inspection data and perform image classification, create a workflow for retrainable models, and help build a lightweight web interface for reviewing outputs. They will collaborate closely with the Defect Metrology and Software Engineering teams to ensure technical accuracy and production-ready execution. This internship is well suited for students interested in careers in software engineering, machine learning engineering, or applied AI.

Educational Value
Interns will gain practical experience developing a production-grade computer vision system in an industrial setting. The role provides exposure to backend automation, machine learning pipeline integration, model retraining workflows, and basic full‑stack development. The skills gained are directly relevant to industry roles in Software Engineering, Machine Learning Engineering, and Applied AI.

Key Responsibilities
Backend / Data Processing
• Build Python automation for handling structured files (CSV/Excel)
• Implement reliable filesystem logic and repeatable processing
• Produce outputs compatible with production needs
• Add logging, configuration controls, and documentation

Computer Vision
• Implement, integrate, and verify an on-premise image classification model
• Create a workflow to retrain models using new labeled data
• Support model testing, performance review, and version control

Front-End UI
• Contribute to a simple web interface using TypeScript, HTML, and CSS
• Display and filter structured inspection results and images
• Support review and model‑retraining workflows

Required Qualifications
• Enrolled in a Bachelor’s, Master’s, or PhD program in CS, SWE, or a related area
• Strong Python proficiency
• Experience with structured data and filesystem operations
• Solid software engineering fundamentals
• Ability to independently manage a focused 12‑week engineering project

Preferred Qualifications
• Coursework or experience in computer vision or image classification
• Familiarity with machine learning frameworks such as PyTorch or TensorFlow
• Experience with TypeScript, HTML, and CSS
• Interest in applied, production-oriented ML systems

Compensation ranges from $35 to $50 per hour, depending on academic level: Undergraduate ($35), Master’s ($45), and Graduate ($50). A housing stipend of up to $2,000 is available for interns relocating for the summer.

Rigetti values diversity and aims to foster an inclusive culture to attract innovative thinkers. Because the company’s technology is intended to serve everyone, it is essential that those who build it reflect the communities they serve. Applications from women, minorities, and other underrepresented groups are strongly encouraged.

About Rigetti
Rigetti Computing is a leader in full-stack quantum computing. Since 2017, the company has operated quantum computers accessible via the cloud, supporting enterprise, government, and research clients through Rigetti Quantum Cloud Services. Its specialized quantum‑classical infrastructure enables ultra‑low latency integration with public and private clouds. Rigetti created the industry’s first multi‑chip quantum processor and designs and manufactures its own chips at Fab‑1, the first dedicated quantum device manufacturing facility. Founded in 2013, the company now has over 150 employees across the United States, the U.K., and Australia. Learn more at https://www.rigetti.com.

If you don’t see a suitable role, you can still apply so the company can contact you when future opportunities arise.

Export Licensing Compliance
Rigetti fully complies with anti‑discrimination laws and is an equal opportunity employer. The company is committed to maintaining an inclusive workplace and does not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.