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Formlabs

AI Software Intern (Fall 2026)

Somerville, MA$48.1k–$58.5kinternshipinternAdded today

About this role

Formlabs seeks an AI Software Intern to develop machine learning and computer vision solutions for 3D printing and additive manufacturing. You'll prototype intelligent algorithms for spatial data analysis, optimize inference performance, and collaborate with software engineering teams to advance automated part preparation and manufacturing monitoring systems.

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 fast, resource-efficient inference in desktop and cloud environments
  • Collaborate with software engineers to translate research concepts into functional, production-ready prototypes
  • Handle unstructured datasets including point clouds, meshes, and voxel grids
  • Work on intelligent algorithms that advance automated part preparation and manufacturing success rates

What they're looking for

  • Python programming
  • PyTorch or TensorFlow
  • C++ and clean code principles
  • Computer vision and real-time vision pipelines
  • 3D spatial data and geometric analysis
  • Linear algebra and 3D geometry
  • Machine learning model optimization
  • Point cloud, mesh, and voxel processing

Benefits

  • Flexible time-off policy
  • Bi-weekly salaried pay schedule
  • On-site parking and pre-tax commuter benefits
  • Catered on-site lunches three times per week plus snacks and beverages
  • Cohort-based social and professional development experience
  • Culture events and unlimited 3D prints
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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 unstructured datasets—what challenges did you face and how did you overcome them?
  • Describe your experience optimizing model inference performance. What tools or techniques have you used to reduce latency or memory footprint?
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