Machine Learning Engineer (m/f/d)

at  CHAOS

Chaos is the world’s largest 3D visualization software company, and for over 20 years has empowered artists, designers, and architects to visualize anything they can imagine. Chaos offers intuitive and powerful workflows for creatives across the entire design spectrum, including architecture, engineering, construction, product design, manufacturing, and media and entertainment. Research and development at Chaos is leading the way towards a truly comprehensive end-to-end visualization ecosystem to meet the evolving needs of existing and new customers. In 2022 Chaos merged with Enscape and acquired Cylindo. For more information, visit chaos.com, enscape3d.com, and cylindo.com.

• Design, develop, and optimise machine learning models in one or more solutions including asset generation and capture, render enhancement, scene intelligence and optimisation 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 visualisation, and implement cutting-edge techniques to enhance our solutions.

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

Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.

• 5+ years of experience in developing machine learning models and deploying them in production environments.
• Strong expertise in one or more of relevant fields including : 3d computer graphics, geometry processing, asset generation, scene understanding, natural language processing, real-time collaboration, and intelligent design optimization techniques.
• Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
• Excellent problem-solving skills and ability to work independently as well as in a team.
• Strong communication, collaboration, and leadership skills, with the ability to guide and mentor team members.