Machine Learning Engineer

Amsterdam, Noord-Holland, Netherlands

Remote: Remote

Type: Contract

Our client, a leading provider of digital manufacturing solutions for interior spaces, is seeking a talented Machine Learning Engineer to join their team. This is an exciting opportunity to work at the forefront of AI and design automation, developing innovative tools that will revolutionize the interiors industry.

As a Machine Learning Engineer, you will be responsible for designing and training deep learning models to extract spatial and semantic information from 2D floorplans. Your work will involve developing pipelines to convert the detected geometry into structured 3D models, ready for integration with the client’s CAD and backend systems. You will collaborate closely with the design automation and engineering teams to bring intelligent layout recognition to life, optimizing models for speed, accuracy, and real-world usability.

CAD/BIM Integration – Knowledge of CAD/BIM environments, Rhino/Grasshopper, or geometry processing libraries (e.g., Computer Vision and Image Processing – Solid background in computer vision and image processing, with the ability to analyze and extract spatial and semantic information from 2D images and vector data.

CAD/BIM Expertise – In-depth knowledge of CAD/BIM environments, Rhino/Grasshopper, or geometry processing libraries, to translate AI output into parametric geometry.

Project Leadership – Demonstrated ability to lead machine learning projects from conception to production, with experience in team mentoring and collaboration.

Collaboration and Communication – Strong interpersonal skills to work effectively with cross-functional teams, including designers, engineers, and product managers.

Attention to Detail – Meticulous approach to model development and deployment, ensuring high-quality outputs that meet the client’s requirements.

Adaptability – Willingness to learn and adapt to new technologies, methodologies, and industry standards as the field of computer vision and design automation evolves.

Bachelor’s Degree – A bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field.

Advanced Degree – A master’s degree or a Ph.If you possess the skills and experience required for this exciting Machine Learning Engineer role, we encourage you to submit your CV today. Our team of recruitment experts will review your application and be in touch to discuss the next steps in the process.

Please don’t hesitate to contact any of our team with any questions you may have on Email: [email protected]