AI Software Intern (Winter/Spring 2027)
FormlabsAbout the role
Do you want to change how the world creates? At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before. We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.
Your Impact
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) Location: Onsite in Somerville, MA (in-person) Application Materials Required: Resume and a link to a GitHub profile, portfolio, or technical project documentation showing work you have built.
What You’ll Do
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-Functionall
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