3D / 2D / CAD Machine Learning Engineer / Onsite LA / Transformers / Custom Models / Computer Vision

Job Description
A growing tech-focused team located in El Segundo, CA (hybrid schedule) is seeking a full-time 3D Machine Learning Engineer to join their group. This role involves working with modern ML frameworks such as PyTorch and TensorFlow, advanced image processing techniques, and scalable cloud infrastructure to build intelligent systems that process complex 3D data.

This is a rare opportunity to work on a product that blends AI, automation, and 3D rendering in a meaningful way. The team is looking for someone who is passionate about machine learning and enjoys solving complex problems across the stack. You’ll be part of a tight-knit group that values innovation, clear communication, and a healthy work-life balance. This role offers a chance to grow your skills in a collaborative environment while contributing to a product that is transforming a specialized industry.

Required Skills & Experience
· 4+ years of Python programming experience
· 2+ years of hands-on experience with PyTorch or TensorFlow
· Strong background in image processing (2D or 3D) or geometry processing (point clouds, mesh manipulation)
· Technical Bachelor’s and/or Master’s degree
· Reside within commuting distance of El Segundo 

Desired Skills & Experience
· Experience with custom model creation, transformers, neural networks, or CV
· Familiarity with or passion for CAD, automation, or medical devices
· Experience with React, Three.js, Electron, or Node
· Familiarity with CI/CD pipelines, AWS services, SageMaker, Databricks

What You Will Be Doing

Tech Breakdown
· 50 percent Machine Learning custom model development (PyTorch/TensorFlow)
· 30 percent Image or geometry processing and data preparation
· 20 percent Cloud deployment and integration

Daily Responsibilities
· Hands-on development
· Architecture and planning
· Team collaboration

The Offer
· Bonus eligible

You will receive the following benefits:
· Medical, dental, and vision insurance
· Vacation time

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.