ML Research Intern

Company Description Metadome.ai builds frontier AI models that transform text, drawings, and CAD files into production-ready, interactive 3D experiences. The company focuses on the full generative pipeline, including text-to-CAD, 2D-to-3D reconstruction, CAD completion and harmonization, and real-time interactive rendering, designed for high-precision physical-world applications. Their technology is currently modernizing OEM aftersales for 30+ automotive and heavy-equipment manufacturers worldwide, turning existing technical documentation into accurate 3D parts, repair animations, and reusable digital assets. Metadome.ais platform has already enabled large-scale digitization projects, such as converting hundreds of thousands of parts into 3D within weeks, and is backed by a large-mechanical CAD model that generates engineering-grade 3D from flat drawings. The broader mission is to let anyone move from an idea, drawing, or specification to a production-grade 3D model and interactive experience with minimal friction. Role Description: The ML Research Intern role at Metadome.ai is a full-time, hybrid position based in Bengaluru, with flexibility for work from home. The intern will collaborate with the research and engineering teams to design, implement, and evaluate machine learning models for text-to-CAD, 2D-to-3D reconstruction, and interactive 3D rendering. Day-to-day responsibilities include exploring recent research literature, prototyping new model architectures, preparing and curating datasets, and running experiments to benchmark performance and robustness. The intern will assist in building scalable training and inference pipelines, documenting findings, and presenting results to cross-functional stakeholders. This role offers the opportunity to contribute to cutting-edge applied research, working closely with senior researchers to translate experimental insights into production-ready systems. Qualifications Strong foundation in machine learning and deep learning, including experience with neural networks and model optimization.Hands-on proficiency with ML frameworks and tooling such as PyTorch, TensorFlow, JAX, or related libraries.Solid programming skills in Python and familiarity with software engineering best practices (version control, testing, code review).Experience or interest in 3D geometry, computer vision, graphics, or related domains (e.g., point clouds, meshes, CAD data).Ability to conduct rigorous research: reading and summarizing papers, designing experiments, analyzing results, and iterating on models.Comfort working with datasets at scale, including data preprocessing, augmentation, and basic statistical analysis.Currently pursuing or recently completed a degree in Computer Science, Electrical Engineering, Mathematics, or a closely related field.Strong analytical thinking, clear written and verbal communication, and the ability to collaborate Company Description Metadome.ai builds frontier AI models that transform text, drawings, and CAD files into production-ready, interactive 3D experiences. The company focuses on the full generative pipeline, including text-to-CAD, 2D-to-3D reconstruction, CAD completion and harmonization, and real-time interactive rendering, designed for high-precision physical-world applications. Their technology is currently modernizing OEM aftersales for 30+ automotive and heavy-equipment manufacturers worldwide, turning existing technical documentation into accurate 3D parts, repair animations, and reusable digital assets. Metadome.ais platform has already enabled large-scale digitization projects, such as converting hundreds of thousands of parts into 3D within weeks, and is backed by a large-mechanical CAD model that generates engineering-grade 3D from flat drawings. The broader mission is to let anyone move from an idea, drawing, or specification to a production-grade 3D model and interactive experience with minimal friction. Role Description: The ML Research Intern role at Metadome.ai is a full-time, hybrid position based in Bengaluru, with flexibility for work from home. The intern will collaborate with the research and engineering teams to design, implement, and evaluate machine learning models for text-to-CAD, 2D-to-3D reconstruction, and interactive 3D rendering. Day-to-day responsibilities include exploring recent research literature, prototyping new model architectures, preparing and curating datasets, and running experiments to benchmark performance and robustness. The intern will assist in building scalable training and inference pipelines, documenting findings, and presenting results to cross-functional stakeholders. This role offers the opportunity to contribute to cutting-edge applied research, working closely with senior researchers to translate experimental insights into production-ready systems. Qualifications Strong foundation in machine learning and deep learning, including experience with neural networks and model optimization.Hand