Location: Remote (San Francisco, Singapore, London)   |   Full-Time
Python PyTorch AWS Machine Learning Deep Learning Computer Vision 3D Reconstruction Data Science

About Kaedim: Kaedim is an AI startup revolutionizing the 3D content creation industry by building machine learning algorithms that transform 2D images into digital 3D models. We are a diverse team of engineers and artists working together to create the next generation of tools for 3D digital creators.

About The Role: As a Machine Learning Engineer at Kaedim, you will be instrumental in developing and refining our core AI algorithms. You will work at the intersection of machine learning and 3D content creation, pushing the boundaries of what’s possible with AI-generated assets.

Key Responsibilities:

  • Develop, train, and deploy machine learning models using PyTorch
  • Collaborate with our engineering team to integrate ML models into production
  • Optimize model performance and accuracy
  • Research and experiment with new ML techniques and technologies
  • Work closely with 3D artists to understand their needs and improve our algorithms

Required Skills:

  • Expertise in Python and machine learning frameworks (PyTorch preferred)
  • Experience with deep learning models for computer vision
  • Strong understanding of neural network architectures
  • Knowledge of 3D geometry and rendering principles
  • Experience with AWS cloud deployment
  • Familiarity with CI/CD pipelines for ML

Ideal Candidate:

  • 3-7 years of experience in machine learning engineering
  • Master’s degree or PhD in Computer Science, AI, or related field
  • Publications or projects demonstrating ML expertise
  • Passion for 3D content creation and AI technologies
  • Strong mathematical and algorithmic foundation
  • Ability to work effectively in cross-functional teams
  • Experience with model versioning and deployment
Post Date: July 29, 2025