Location: San Francisco, Singapore, London   |   Full-Time   |   $150,000 - $220,000
Python PyTorch Machine Learning Deep Learning Neural Networks Computer Vision 3D Graphics AI Generative Models GPU Data Science ML Engineering Data Engineer

About Kaedim:
Kaedim is an AI startup building machine learning algorithms that turn images into digital 3D models. We are a group of ~10 looking to grow the team to help streamline 3D content creation for 3D artists and are already working with 1 of the top 10 games of all time! Using our AI and in-house art team, we have the most accurate, game-ready 2d → 3d asset generation pipeline. Currently, we are offering a 10x speed up to 3D asset creation pipelines of 200+ game developers and we are working with partners like Voodoo, Upland, Azra Games.

Role Overview:
We are seeking a Machine Learning Engineer to join our AI team. As a Machine Learning Engineer at Kaedim, you will be responsible for developing and implementing the core algorithms that transform 2D images into high-quality 3D models. You’ll work closely with our creative team to refine our AI models and ensure they produce accurate, game-ready assets that meet industry standards.

What You’ll Do / Responsibilities:

  • Design, develop, and train machine learning models for image-to-3D conversion
  • Collaborate with the software engineering team to integrate ML models into our web platform
  • Optimize existing algorithms for better accuracy, speed, and efficiency
  • Conduct research and experimentation to improve model performance
  • Work with large datasets to train and validate our AI systems
  • Monitor and analyze model performance in production environments
  • Document and share technical findings with the broader team
  • Contribute to the overall architecture and scalability of our ML infrastructure

What You’ll Bring / Requirements / Qualifications:

  • Master’s or PhD in Computer Science, AI, or related technical field
  • 3+ years of experience in machine learning and deep learning frameworks
  • Proficiency in Python and PyTorch
  • Strong understanding of neural networks, convolutional neural networks, and generative models
  • Experience with 3D computer graphics concepts and rendering techniques
  • Knowledge of computer vision and image processing techniques
  • Familiarity with GPU acceleration and distributed computing
  • Experience working with large-scale datasets and data preprocessing
  • Excellent analytical and problem-solving skills
  • Strong communication abilities and teamwork skills
  • Passion for pushing the boundaries of AI capabilities in creative applications

Tech Stack:
Python, PyTorch, AWS

Benefits:

  • Competitive salary and equity package
  • Comprehensive health insurance coverage
  • Flexible working hours and remote work options
  • Professional development opportunities
  • Collaborative and innovative work environment
  • Opportunity to work with cutting-edge AI technology

Location:
Onsite positions available in San Francisco, Singapore, or London with US & UK sponsorship available for qualified candidates.

Compensation:
$150,000 - $220,000 annually (depending on experience)

Post Date: August 1, 2025