Machine Learning Engineer 3D Geometry Multi-Modal

Salary: £65,000 - 105,000 per year

Requirements:

• BSc or MSc in Computer Science, or equivalent industry experience
• 3+ years of machine learning experience
• Experience working in research or experimental environments with evolving requirements
• Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)
• Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
• Experience working with diverse data representations, including 2D and 3D geometry
• Experience with version control, reproducibility, and deploying machine learning models
• Experience using modern AI/GenAI tools in development or experimentation workflows
• Excellent written documentation skills
• Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or related field
• Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
• Experience with cloud services and architectures (e.g. AWS, Azure)
• Experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation)
• Knowledge of the design, manufacturing, AEC, or media & entertainment industries
• Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

Responsibilities:

• Collaborate on projects at the intersection of research and product with a diverse, global team
• Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models
• Work with complex datasets and representations for model training, evaluation, and analysis
• Analyze errors and provide solutions to problems
• Present results to collaborators and leadership

Technologies:

• 3D
• AI
• AWS
• Azure
• Cloud
• Fine-tuning
• Machine Learning
• Model Training
• PyTorch

More:

We are Autodesk, and our software helps create buildings, machines, and films, empowering innovators around the world. This Machine Learning Engineer role sits within Autodesk Research, where we work side by side with researchers and engineers to build ML-powered capabilities for our products, including generative AI features. We operate in a fast-moving, research-driven environment with a hybrid working model from our London offices. We offer a competitive compensation package that may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. We also take pride in fostering a culture of belonging where everyone can thrive. This role is located in EMEA - United Kingdom - London - Agar St.

last updated 34 week of 2026