Artificial Intelligence Engineer

Key ResponsibilitiesAI/ML Development- 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 improvementPlatform Architecture- Architect browser-based AI systems that can 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 - Implement feedback loops to continuously improve model accuracyManufacturing Analysis- Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement - Build moldflow simulation capabilities using AI-accelerated CFD techniques - Create cost optimization engines that recommend design changes for manufacturability - Implement quality prediction models for common injection molding defects - Design automated report generation with actionable manufacturing insightsResearch & Innovation- Stay current with AI/ML advances in manufacturing and CAD analysis - Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data - Collaborate with manufacturing experts to validate and improve AI recommendations - Publish research and represent the company at industry conferencesRequired QualificationsTechnical Expertise- 4+ years of AI/ML engineering experience with production deployments - Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks - Experience with 3D geometry processing using libraries like Open3D, PCL, or similar - JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js) - Computer vision and geometric deep learning experience - Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing - Experience with fine tuning ML modelsSoftware Engineering- WebAssembly development for high-performance browser applications - Cloud platform experience (AWS, GCP, Azure) for model training and deployment - Database design for handling large geometric datasets - Version control and CI/CD best practicesMathematical Foundation- Strong linear algebra and calculus background - Statistics and probability for uncertainty quantification - Computational geometry and mesh processing algorithms - Optimization techniques for design parameter tuningPreferred QualificationsDomain Knowledge- Manufacturing engineering background in injection molding or similar processes - CAD software experience (SolidWorks, Fusion 360, etc.) - Finite element analysis (FEA) or computational fluid dynamics (CFD) experience - Materials science knowledge for plastic properties and behaviorAdvanced Technical Skills- Graph neural networks for representing CAD geometry - Reinforcement learning for design optimization - Physics-informed neural networks for manufacturing simulation - Edge computing and model compression techniques - Real-time rendering with WebGL/Three.jsEducation & Experience- Bachelors or Masters in Computer Science, Engineering, or related field - 2+ years in manufacturing technology or CAD software companies - Experience at high-growth startups building technical products from scratch for production - Open source contributions in AI/ML or manufacturing tools