Artificial intelligence engineer

AI Engineer - Manufacturing Analysis Platform Company Overview We are building the next generation of AI-powered manufacturing analysis tools, starting with a revolutionary browser-based platform that enables engineers to instantly analyze plastic injection molding designs. Our mission is to democratize advanced manufacturing analysis by making sophisticated DFM (Design for Manufacturing) and moldflow analysis accessible to engineers worldwide through an intuitive drag-and-drop interface. Role Overview We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can analyze 3 D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with significant ownership and growth potential. Key Responsibilities AI/ML Development Design and implement ML models for geometric analysis of injection molded plastic parts Develop computer vision algorithms for automated feature detection in 3 D 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 Tensor Flow.js/ONNX.js Design data pipelines for continuous model training and improvement Platform Architecture Architect browser-based AI systems that can process large 3 D models efficiently Integrate STEP/STL file processing with AI analysis workflows Develop Web Assembly modules for high-performance geometry computation Build scalable model serving infrastructure supporting real-time analysis Implement feedback loops to continuously improve model accuracy Manufacturing 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 insights Research & 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 3 D data Collaborate with manufacturing experts to validate and improve AI recommendations Publish research and represent the company at industry conferences Required Qualifications Technical Expertise 4+ years of AI/ML engineering experience with production deployments Strong proficiency in Python with Tensor Flow, Py Torch, or similar ML frameworks Experience with 3 D geometry processing using libraries like Open3 D , PCL, or similar Java Script/Type Script expertise for browser-based AI deployment (Tensor Flow.js, ONNX.js) Computer vision and geometric deep learning experience Understanding of CAD file formats (STEP, STL, OBJ) and 3 D mesh processing Experience with fine-tuning ML models Software Engineering Web Assembly 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 practices Mathematical Foundation Strong linear algebra and calculus background Statistics and probability for uncertainty quantification Computational geometry and mesh processing algorithms Optimization techniques for design parameter tuning Preferred Qualifications Domain Knowledge Manufacturing engineering background in injection molding or similar processes CAD software experience (Solid Works, Fusion 360, etc.) Finite element analysis (FEA) or computational fluid dynamics (CFD) experience Materials science knowledge for plastic properties and behavior Advanced 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 Web GL/Three.js Education & 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