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AI/ML Engineer

Full-time

Build intelligent tools that understand design, materials, and manufacturability to help creators bring ideas to life faster. You’ll take models from research to production and make them reliable in real user workflows. You’ll collaborate with product, design, and engineering to translate messy real-world inputs into helpful, explainable outputs. The goal is simple: reduce uncertainty and accelerate the path from concept to production-ready decisions.

At Tangibl, we are building a foundation where physical product creation is as accessible as software. This is a chance to join a small, fast-moving team and take ownership of challenges that shape the future of manufacturing.

AI/ML Engineer hero image

About the role

You’ll build and train AI models that power design generation, material understanding, and manufacturability analysis at Tangibl. Your work will directly shape the intelligence that helps creators go from idea to production-ready products.

What you'll do

  • Develop and train ML models for design generation and optimization
  • Build computer vision systems for material, pattern, and quality analysis
  • Create data pipelines and infrastructure for model training and inference
  • Improve model accuracy, speed, and reliability in production
  • Collaborate with product, engineering, and design teams

Who you are

  • 3+ years of experience in machine learning or applied AI
  • Strong in Python, PyTorch, and ML tooling
  • Experience with computer vision, NLP, or generative models
  • Knowledge of data engineering and cloud platforms (AWS, GCP preferred)
  • You are curious, rigorous, and driven to solve hard problems

Nice to have

Not required, but these skills help you stand out and bring fresh perspectives as we connect digital creation with physical manufacturing.

Experience working hands-on with 3D data, CAD models, or complex manufacturing datasets.
Familiarity with state-of-the-art diffusion models, vision transformers, or multi-modal architectures.
A strong passion for the intersection of applied AI, generative design, and physical product creation.

Don't see the right fit?

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