AI Software Intern

Who you are

• Pursuing a BS, MS, or PhD in Computer Science, Physics, Applied Mathematics, or a related quantitative field with strong foundations in linear algebra and 3D geometry
• Deep proficiency in Python and hands-on prototyping experience using modern ML/DL frameworks like PyTorch or TensorFlow
• Solid foundational knowledge of C++ and clean code principles, with an interest in writing performant, production-ready code
• Experience handling unstructured datasets, point clouds, meshes, voxel grids, or applying machine learning to real-world physical systems
• Familiarity with edge deployment optimization (TensorRT, ONNX Runtime) or open-source 3D processing libraries (Open3D)
• Experience with open-source 3D/computational geometry processing libraries (e.g., Open3D, CGAL)
• Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing

What the job involves

• We are bridging the gap between digital intent and physical reality
• As an AI Software Intern, you will apply machine learning and deep learning techniques to solve complex physical, geometric, and vision constraints in the additive manufacturing space
• You will work alongside our core software engineering teams to design, prototype, and scale intelligent algorithms that advance automated part preparation, spatial data analysis, and intelligent monitoring systems to optimize manufacturing success rates and enhance user workflows
• Internship Term: Winter/Spring 2027 (January-April)
• Commitment: Full-time (40 hours/week)
• Prototype Intelligent Algorithms: Design, implement, and evaluate machine learning models tailored to 3D spatial data, geometric analysis, and automated print workflows
• Advance Computer Vision Systems: Develop and refine real-time vision pipelines and time-series analysis for system monitoring and defect detection
• Optimize Inference Performance: Profile and optimize model architectures to ensure fast, resource-efficient runtime execution within desktop software or cloud environments
• Collaborate Cross-Functionally: Partner with software engineers and cross-disciplinary teams to translate research concepts into functional, high-quality software prototypes

The application process

• Application Materials Required: Resume and a link to a GitHub profile, portfolio, or technical project documentation showing work you have built