Overview
On Site
180k - 200k
Full Time
Skills
IaaS
Artificial Intelligence
3D Rendering
Innovation
Communication
Python
3D Computer Graphics
Continuous Integration
Continuous Delivery
Amazon Web Services
React.js
Machine Learning (ML)
PyTorch
TensorFlow
Image Processing
Cloud Computing
Collaboration
Insurance
SAP BASIS
Job Details
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)
Technical Bachelor's and/or Master's degree
Desired Skills & Experience
Familiarity with CI/CD pipelines and AWS services
Exposure to React or modern web frameworks
Interest in CAD, automation, or geometry processing
What You Will Be Doing
Tech Breakdown
50 percent Machine Learning model development (PyTorch/TensorFlow)
30 percent Image 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.
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)
Technical Bachelor's and/or Master's degree
Desired Skills & Experience
Familiarity with CI/CD pipelines and AWS services
Exposure to React or modern web frameworks
Interest in CAD, automation, or geometry processing
What You Will Be Doing
Tech Breakdown
50 percent Machine Learning model development (PyTorch/TensorFlow)
30 percent Image 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.