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Jobs/Software Engineering Intern Role/Rigetti Computing - 2026 Internship Project: Software Engineering, Computer Vision & Automation

Rigetti Computing - 2026 Internship Project: Software Engineering, Computer Vision & Automation

Rigetti ComputingFremont, CA$73k - $104k2w ago
In OfficeInternNAArtificial IntelligenceSoftware Engineering InternPythonExcelTypeScriptDocumentation

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Requirements

• Pursuing a Bachelor’s, Master’s, or PhD in CS, SWE, or related field • Experience working with structured data and filesystems • Solid software engineering fundamentals • Ability to independently manage a scoped 12-week engineering project • Coursework or experience in computer vision or image classification • Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) • Interest in applied, production-oriented machine learning systems • $35 - $50 an hour • Rigetti complies with all local and state regulations in regards to displaying salary ranges. Generally, we pay according to academic experience: Undergraduate ($35), Masters ($45), Graduate Level ($50). Additionally, Rigetti will provide a housing stipend up to $2,000 for candidates who relocate for the summer. • As engineering leaders, we value diversity and are committed to building a culture of inclusion to attract and engage innovative thinkers. Our technology, meant to serve all of humanity, cannot succeed if those who built it do not mirror the diversity of the communities we serve. Applications from women, minorities, and other under-represented groups are encouraged.

Responsibilities

• Backend / Data Processing • Develop Python automation for structured file processing (CSV/Excel) • Implement robust filesystem logic and idempotent processing • Design outputs suitable for production integration • Add logging, configuration management, and documentation • Computer Vision • Implement, integrate, and validate an on-prem image classification model • Design a retraining workflow to incorporate new labeled data • Support model evaluation, performance analysis, and versioning • Contribute to a lightweight web UI (TypeScript, HTML, CSS) • Display and filter structured inspection results and images • Support workflow for review and retraining selection

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