Company Description
Accio3D is a manufacturing intelligence platform that transforms how industrial parts are produced and supplied. Our platform enables organizations to analyze, qualify, and manufacture parts through additive manufacturing with speed and reliability.
Founded by experts in supply chain resilience, Accio3D simplifies and scales additive manufacturing by combining advanced AI with global on-demand production. Our AI-powered platform acts as a technical copilot, automatically evaluating part manufacturability, recommending materials, and enabling seamless production anywhere in the world. Our mission is to make additive manufacturing as simple as clicking “print.”
Role Description
Accio3D is looking for a Machine Learning Engineer to lead the development of our ML infrastructure for automated printability analysis of 3D models.
This role will focus on building systems that analyze CAD and mesh geometry to determine whether parts can be reliably manufactured via additive manufacturing. You will design and deploy models that evaluate manufacturability, detect potential print failures, and provide actionable feedback to engineers.
You will work closely with product, software, and manufacturing experts to build the intelligence layer that powers Accio3D’s platform. This is a hands-on engineering role that spans research, model development, and production deployment. This is a remote-first role, with occasional in-person collaboration sessions in Portland, Oregon.
What You’ll Do
- Own and develop the machine learning infrastructure for automated 3D printability analysis
- Design models that analyze 3D geometry (CAD / meshes / point clouds) to predict manufacturability
- Develop ML pipelines that process, analyze, and classify 3D models at scale
- Implement and evaluate computer vision and geometric ML techniques for feature extraction and defect detection
- Build and deploy models into production services used by the Accio3D platform
- Work with other engineers to integrate ML systems into product workflows
- Design datasets and evaluation pipelines for training and validating manufacturability models
- Research and implement state-of-the-art approaches in 3D deep learning and geometric ML
Required Qualifications
- Strong experience building and deploying machine learning systems in production
- Experience working with 3D data (meshes, point clouds, CAD models, voxel grids, or similar)
- Solid programming experience in Python and ML frameworks such as PyTorch or TensorFlow
- Experience implementing deep learning models for structured or spatial data
- Strong background in algorithms, data structures, and numerical computing
- Ability to design and implement scalable ML pipelines
- Strong problem-solving skills and ability to work independently
Preferred Qualifications
- Experience with 3D deep learning & geometric machine learning
- Experience with computer vision applied to 3D data
- Familiarity with libraries such as: Open3D
- PyTorch3D
- Trimesh
- CGAL
- Experience working with CAD or mesh processing pipelines
- Experience in additive manufacturing or manufacturing engineering
Why Join Accio3D
- Work on cutting-edge problems at the intersection of AI, geometry, and manufacturing
- Help build the intelligence layer powering the next generation of digital manufacturing
- Small, high-impact team with significant ownership and autonomy
- Opportunity to shape the future of additive manufacturing
