Machine Learning Engineer 3D Geometry/ Multi-Modal

Overview

As a Machine Learning Engineer at Autodesk Research, you partner with researchers and engineers to bring ML-powered capabilities into Autodesk products. You’ll build and test ML pipelines and prototypes in a fast, research-driven setting, iterating with evolving requirements. Collaboration with a global team and hands-on work with 2D/3D data will shape generative AI features for real-world products. This role offers impact across research, product, and scalable AI initiatives in a hybrid London environment.

Pay / Benefits

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

Responsibilities

• Collaborate on research-product intersection projects with a global team
• Build and iterate ML pipelines, prototypes, and evaluation workflows for rapid deployment
• Handle complex datasets and representations for model training, evaluation, and analysis
• Analyze model errors and propose solutions
• Present results to collaborators and leadership

Key requirements

• 3+ years of machine learning experience
• Experience in research or experimental environments with evolving requirements
• Proficiency with PyTorch and HuggingFace
• Experience with computational geometry and 3D data (meshes, B-Rep)
• Experience with diverse data representations including 2D and 3D geometry
• Experience with version control, reproducibility, and deploying ML models
• Experience using modern AI/GenAI tools in development or experimentation workflows
• Excellent written documentation skills
• Collaborative mindset
• Strong problem-framing and rapid iteration ability
• Clear written communication
• PyTorch
• HuggingFace
• 3D geometry handling (meshes, B-Rep)

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