À propos de ce poste Machine Learning Engineer 3D Geometry/ Multi-Modal chez Autodesk
Job Requisition ID #
Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.
As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. You are an ML engineer with strong software engineering skills who is passionate about solving problems and building things, and excited to collaborate with AI researchers to implement generative AI features. You will operate in a fast-moving, research-driven environment where problems are often not fully defined, requiring strong problem framing and rapid iteration.
The team work in a hybrid working model from our offices in London.
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
Minimum Qualifications
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
Preferred Qualifications
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.)
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
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