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 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 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 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 improvement

Platform 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 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 3D 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 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 models

Software 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 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 (SolidWorks, 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 WebGL / 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