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Formlabs

AI Software Intern (Winter/Spring 2027)

Somerville, MA$96.2k–$117kinternshipinternAdded 3 days ago

About this role

Formlabs seeks an AI Software Intern to apply machine learning and deep learning techniques to solve complex challenges in 3D printing and additive manufacturing. You'll prototype intelligent algorithms for part preparation, spatial analysis, and monitoring systems while collaborating with core software engineering teams in our Somerville office.

What you'll do

  • Design and implement machine learning models for 3D spatial data, geometric analysis, and automated print workflows
  • Develop real-time computer vision pipelines and time-series analysis for defect detection and system monitoring
  • Profile and optimize model architectures for efficient runtime execution in desktop and cloud environments
  • Partner with software engineers across teams to translate research concepts into functional prototypes
  • Handle unstructured datasets including point clouds, meshes, and voxel grids
  • Write clean, performant code following production-ready standards

What they're looking for

  • Python (deep proficiency)
  • PyTorch or TensorFlow
  • C++
  • 3D geometry and linear algebra
  • Computer vision and point cloud processing
  • Machine learning and deep learning
  • Edge deployment optimization (TensorRT, ONNX Runtime)
  • Open3D or computational geometry libraries

Benefits

  • Flexible time off policy
  • Bi-weekly salaried pay
  • On-site parking and pre-tax commuter benefits
  • Catered lunches three times per week plus snacks and beverages
  • Cohort-based intern social and professional development
  • Unlimited 3D prints and access to company culture events
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Formlabs

Formlabs builds advanced 3D printing hardware and systems, with particular focus on dental and professional applications. The company is hiring for engineering roles including robotic systems integration, mechanical design, and reliability testing to develop and improve their 3D printing technology.

Website
formlabs.com
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Likely interview questions

  • Walk us through a machine learning project where you worked with 3D spatial data or point clouds—what challenges did you face and how did you solve them?
  • How have you optimized a deep learning model for inference performance, and what tools or techniques did you use?
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