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Machine Learning Engineer (m/f/d)

Posted January 26, 2026
fulltime_permanent experienced 8185-12276 BGN/month

Job Overview

Chaos is a leading global software company that provides world-class visualization and design solutions, empowering creative minds to bring ideas to life. 

For over twenty years, Chaos has developed innovative technologies serving multiple industries, including architecture and design, media and entertainment, and product e-commerce. Chaos’ solutions help architects, designers, VFX artists/animators, and other creative professionals share ideas, optimize workflows, and create immersive experiences.

Headquartered in Karlsruhe, Germany, Chaos is a global company with offices in 11 cities worldwide. In 2022, Chaos and Enscape merged, bringing together two industry-leading companies into one. Since then, Chaos has continued to grow with the additions of Cylindo, AXYZ Design, and Evolve Lab, further expanding our expertise and solutions across architecture, design, e-commerce, and AI. For more information, please visit chaos.com.

Machine Learning Engineer

***This position is based in Bulgaria with remote/hybrid working options. Applicants must have a work/residence permit for the respective location.***

Main Responsibilities:

  • Design, develop, and optimize machine learning models in one or more solutions including asset generation and capture, render enhancement, scene intelligence and optimization and intuitive design interactions.

  • Mentor other engineers and contribute to the growth of the team's knowledge and expertise in machine learning.

  • Collaborate with cross-functional teams and our ML Product Manager to define the product requirements, and scope of delivery of solutions to product teams.

  • Collaborate with cross-functional teams to understand requirements and gather feedback to refine one or more initiatives.

  • Work closely with our MLOps Engineer to develop and maintain pipelines for training, validating, testing and deploying machine learning models across our portfolio.

  • Stay updated and share knowledge on the latest developments in machine learning, natural language processing, and 3D visualization, and implement cutting-edge techniques to enhance our solutions.

  • Ensure high-quality code and documentation, following best practices in software development and machine learning.

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