Machine Learning Engineer

Job Description: AI/ML Engineer (3D 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 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 & 3D Web Systems

Architect

browser-based AI systems

that 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.

⚙️ 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

TensorFlow, PyTorch , or similar ML frameworks. 3D Geometry:

Experience with

3D geometry processing

using libraries like Open3D, PCL, or similar. Web AI:

JavaScript/TypeScript

expertise for browser-based AI deployment ( TensorFlow.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 3D mesh processing. Software Engineering:

Experience with

WebAssembly

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 WebGL/Three.js. Startup Experience:

Experience at high-growth startups building technical products from scratch for production.