Machine Learning Engineer

AI/ML Engineer

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.