Job Description : AI / ML Engineer (3D Geometry & Manufacturing)
We are seeking an exceptionally talented and entrepreneurial AI / ML Engineer and build our next-generation browser-based platform for geometric analysis and Design for Manufacturability (DFM). If you are passionate about leveraging advanced AI, computer vision, and computational geometry to solve complex, real-world manufacturing challenges, we want to talk to you.
This is a high-impact role focused on bringing real-time, industrial-grade analysis directly to the browser, impacting how products are designed, costed, and produced globally.
Key Responsibilities & Impact
🧠 AI / ML Development & Real-time Inference
- Design and implement ML models for geometric analysis of injection molded plastic parts.
- Develop computer vision algorithms for automated feature detection in 3D CAD models.
- Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis.
- Create real-time inference engines optimized for browser-based deployment using TensorFlow.Js / ONNX.Js .
- Design data pipelines for continuous model training and improvement.
🌐 Platform Architecture & 3D Web Systems
Architect browser-based AI systems that process large 3D models efficiently.Integrate STEP / STL file processing with AI analysis workflows.Develop WebAssembly modules for high-performance geometry computation.Build scalable model serving infrastructure supporting real-time analysis.⚙️ Manufacturing Analysis & DFM
Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, and gate placement .Build moldflow simulation capabilities using AI-accelerated CFD techniques.Implement quality prediction models for common injection molding defects.Required Qualifications (Must-Haves)
Experience : 3+ years of AI / ML engineering experience with production deployments.ML Proficiency : Strong proficiency in Python with TensorFlow, PyTorch , or similar ML frameworks.3D Geometry : Experience with 3D geometry processing using libraries like Open3D, PCL, or similar.Web AI : JavaScript / TypeScript expertise for browser-based AI deployment ( TensorFlow.Js, ONNX.Js ).Foundation : Strong background in linear algebra, calculus, computational geometry , and optimization techniques.CAD Knowledge : Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing.Software Engineering : Experience with WebAssembly development, Cloud platforms (AWS, GCP, Azure), and CI / CD best practices.Preferred Qualifications (Bonus Points)
Domain Expertise : Manufacturing engineering background in injection molding or similar processes.Advanced AI : Experience with Graph Neural Networks (GNN) for CAD geometry, Physics-Informed Neural Networks (PINNs) , or Reinforcement Learning for design optimization.Full Stack : Real-time rendering with WebGL / Three.Js.Startup Experience : Experience at high-growth startups building technical products from scratch for production.