Highly Skilled Artificial Intelligence Lead

Lead AI EngineerThis is a pioneering role in which you will spearhead the development of our core AI analysis engine, driving innovation and growth in manufacturing analysis.Key Responsibilities:Design and implement machine learning models for geometric analysis of injection-molded plastic parts, optimizing performance and efficiency.Develop computer vision algorithms for automated feature detection in 3D CAD models, ensuring accuracy and reliability.Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis, providing actionable insights to stakeholders.Create real-time inference engines optimized for browser-based deployment, utilizing TensorFlow.js/ONNX.js frameworks.Design data pipelines for continuous model training and improvement, leveraging cloud platforms and big data technologies.Platform Architecture:Architect scalable browser-based AI systems capable of efficiently processing large 3D models, ensuring seamless user experience.Integrate STEP/STL file processing with AI analysis workflows, streamlining data flow and reducing latency.Develop WebAssembly modules for high-performance geometry computation, accelerating rendering and simulation tasks.Build model-serving infrastructure for real-time analysis, ensuring fast and reliable model deployment.Implement feedback loops to continuously improve model accuracy and relevance, incorporating stakeholder feedback and market trends.Manufacturing Analysis:Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, and gate placement, enhancing design optimization and manufacturability.Build AI-accelerated moldflow simulation capabilities, predicting defects and improving production yields.Create cost optimization engines recommending design changes for manufacturability, minimizing waste and energy consumption.Implement quality prediction models for common injection molding defects, detecting potential issues early on.Design automated report generation delivering actionable manufacturing insights, enabling data-driven decision making.Research & Innovation:Stay current with AI/ML advances in manufacturing and CAD analysis, staying at the forefront of industry developments.Experiment with techniques such as neural radiance fields and graph neural networks for 3D data, exploring new frontiers in AI research.Collaborate with manufacturing experts to validate AI recommendations, ensuring relevance and effectiveness in real-world applications.Publish research and represent the company at industry conferences, promoting thought leadership and expertise.Technical Expertise:Strong proficiency in Python with TensorFlow, PyTorch, or equivalent frameworks, leveraging open-source tools and libraries.Experience with 3D geometry processing (Open3D, PCL, etc.), ensuring seamless integration with AI analysis workflows.JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js), utilizing cutting-edge web technologies.Computer vision and geometric deep learning experience, driving innovation in image and signal processing.Knowledge of CAD file formats (STEP, STL, OBJ) and 3D mesh processing, ensuring compatibility and interoperability.Experience in fine-tuning ML models, optimizing performance and generalization.Software Engineering:WebAssembly development for high-performance browser applications, utilizing platform-agnostic code.Cloud platform experience (AWS, GCP, Azure) for model training and deployment, leveraging scalable infrastructure.Database design for large geometric datasets, ensuring efficient data storage and retrieval.Strong version control and CI/CD practices, promoting collaboration and automation.Mathematical Foundation:Linear algebra, calculus, statistics, and probability, providing a solid mathematical foundation for AI and ML.Computational geometry and mesh processing algorithms, driving innovation in 3D modeling and simulation.Optimization techniques for design parameter tuning, ensuring optimal solutions and minimal waste.Domain Knowledge:Manufacturing engineering background, preferably injection molding, ensuring relevant expertise and knowledge.CAD software experience (SolidWorks, Fusion 360, etc.), ensuring compatibility and interoperability.Finite element analysis (FEA) or computational fluid dynamics (CFD), providing a comprehensive understanding of simulation and modeling.MATERIALS science knowledge for plastics, ensuring informed decision making and effective material selection.Advanced Technical Skills:Graph neural networks for CAD geometry representation, driving innovation in 3D modeling and simulation.Reinforcement learning for design optimization, ensuring optimal solutions and minimal waste.Physics-informed neural networks for manufacturing simulation, providing accurate and realistic simulations.Edge computing and model compression techniques, ensuring fast and efficient model deployment.Real-time rendering with WebGL/Three.js, driving innovation in visual effects and graphics.Education & Experience:Bachelor's or Master's in Computer Science, Engineering, or related field, ensuring relevant education and expertise.2+ years in manufacturing technology or CAD software companies, ensuring relevant experience and knowledge.Experience at high-growth startups building production-ready technical products, driving innovation and entrepreneurship.Open source contributions in AI/ML or manufacturing tools, promoting collaboration and community engagement.This is a founding engineering role with high ownership, technical autonomy, and growth potential. The ideal candidate should have a strong passion for AI and a keen interest in advancing its applications in manufacturing analysis.