Machine Learning Engineer, 3D Geometry, Multimodal AI

🕒 6 days ago

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

📱 Media

Architecture • Engineering • Media

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• Design, develop, and optimize machine learning models for AI-powered product features involving 3D geometry, multimodal AI, and generative AI • Build and maintain scalable data pipelines and machine learning workflows for data preparation, model training, evaluation, and inference • Work with complex datasets and representations for model training, evaluation, and analysis • Design and implement evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality • Collaborate with researchers and engineers to transform experimental ideas into scalable, production-ready product capabilities • Build and maintain MLOps workflows supporting model versioning, deployment, monitoring, and continuous improvement • Analyze model performance, identify failure modes, and implement improvements to enhance model accuracy, reliability, and efficiency • Document and present technical designs, experimental results, and findings to collaborators and leadership

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or equivalent industry experience • 5+ years of professional experience developing machine learning solutions • Experience working across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment • Experience working in research or experimental environments with evolving requirements • Proficiency with modern deep learning frameworks (e.g., PyTorch, Hugging Face) • Experience with computational geometry and 3D data (e.g., meshes, B-Rep models) • Experience working with complex data representations, including 2D and 3D geometry • Experience with version control, reproducibility, and deploying machine learning models • Hands-on experience using modern AI/GenAI tools to improve software development, experimentation, or machine learning workflows • Excellent written and verbal communication skills

🏖️ Benefits

• annual cash bonuses • commissions for sales roles • stock grants • comprehensive benefits package