Machine learning engineer
3 days ago
Job Description: AI/ML Engineer (3 D 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 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 & 3 D Web Systems Architect browser-based AI systems that 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. ⚙️ 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 Tensor Flow, Py Torch , or similar ML frameworks. 3 D Geometry: Experience with 3 D geometry processing using libraries like Open3 D, PCL, or similar. Web AI: Java Script/Type Script expertise for browser-based AI deployment (Tensor Flow.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 3 D mesh processing. Software Engineering: Experience with Web Assembly 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 Web GL/Three.js. Startup Experience: Experience at high-growth startups building technical products from scratch for production.
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Machine Learning Expert
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Chief Machine Learning Strategist
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Senior Machine Learning Model Developer
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Visionary Machine Learning Specialist
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Machine Learning Voice Model Specialist
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Senior Machine Learning Architect
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Machine Learning Specialist
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