Computer Vision Engineer

AI Engineer - Manufacturing Analysis PlatformRole OverviewWe'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 3D 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 ResponsibilitiesAI / ML DevelopmentDesign and implement ML models for geometric analysis of injection molded plastic partsDevelop computer vision algorithms for automated feature detection in 3D CAD modelsBuild predictive models for manufacturing cost estimation, cycle time prediction, and defect analysisCreate real-time inference engines optimized for browser-based deployment using TensorFlow.js / ONNX.jsDesign data pipelines for continuous model training and improvementPlatform ArchitectureArchitect browser-based AI systems that can process large 3D models efficientlyIntegrate STEP / STL file processing with AI analysis workflowsDevelop WebAssembly modules for high-performance geometry computationBuild scalable model serving infrastructure supporting real-time analysisImplement feedback loops to continuously improve model accuracyManufacturing AnalysisDevelop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placementBuild moldflow simulation capabilities using AI-accelerated CFD techniquesCreate cost optimization engines that recommend design changes for manufacturabilityImplement quality prediction models for common injection molding defectsDesign automated report generation with actionable manufacturing insightsResearch & InnovationStay current with AI / ML advances in manufacturing and CAD analysisExperiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D dataCollaborate with manufacturing experts to validate and improve AI recommendationsPublish research and represent the company at industry conferencesRequired QualificationsTechnical Expertise4+ years of AI / ML engineering experience with production deploymentsStrong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworksExperience with 3D geometry processing using libraries like Open3D, PCL, or similarJavaScript / TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)Computer vision and geometric deep learning experienceUnderstanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processingExperience with fine tuning ML modelsSoftware EngineeringWebAssembly development for high-performance browser applicationsCloud platform experience (AWS, GCP, Azure) for model training and deploymentDatabase design for handling large geometric datasetsVersion control and CI / CD best practicesMathematical FoundationStrong linear algebra and calculus backgroundStatistics and probability for uncertainty quantificationComputational geometry and mesh processing algorithmsOptimization techniques for design parameter tuningPreferred QualificationsDomain KnowledgeManufacturing engineering background in injection molding or similar processesCAD software experience (SolidWorks, Fusion 360, etc.)Finite element analysis (FEA) or computational fluid dynamics (CFD) experienceMaterials science knowledge for plastic properties and behaviorAdvanced Technical SkillsGraph neural networks for representing CAD geometryReinforcement learning for design optimizationPhysics-informed neural networks for manufacturing simulationEdge computing and model compression techniquesReal-time rendering with WebGL / Three.jsEducation & ExperienceBachelors or Masters in Computer Science, Engineering, or related field2+ years in manufacturing technology or CAD software companiesExperience at high-growth startups building technical products from scratch for productionOpen source contributions in AI / ML or manufacturing tools