Machine Learning Engineer 3d Geometry/ Multi-modal
AUTODESK CONSTRUCTION CLOUD
London, United Kingdom
Base: based on c + idate's experience + geographic...
Hybrid
3+ years machine learning experience
Proficiency with pytorch and huggingface
Experience with computational geometry and 3d data
The role involves collaborating with researchers and engineers to build ML-powered capabilities in Autodesk products within a fast-moving, research-driven environment
Job Summary
The role involves collaborating with researchers and engineers to build ML-powered capabilities in Autodesk products within a fast-moving, research-driven environment.
Candidates will be responsible for building and iterating on ML pipelines, prototypes, and evaluation workflows to enable rapid deployment of experimental models.
Autodesk offers a competitive compensation package including base salaries, annual cash bonuses, stock grants, and a comprehensive benefits package.
Matching Summary
The role involves collaborating with researchers and engineers to build ML-powered capabilities in Autodesk products within a fast-moving, research-driven environment.
Salary
Base: Based on candidate's experience and geographic location; Bonus/Equity: Annual cash bonuses and stock grants included; Benefits: Comprehensive benefits package offered
Skills & Requirements
Must-have
3+ years machine learning experience
Proficiency with PyTorch and HuggingFace
Experience with computational geometry and 3D data
Strong software engineering skills
Ability to work in research-driven environments
Nice-to-have
Experience scaling ML training pipelines
Knowledge of AWS or Azure cloud services
Familiarity with LLMs and generative AI systems
Background in design or manufacturing industries
Previous experience with Autodesk CAD products
Key Requirements
BSc or MSc in Computer Science or equivalent industry experience
3+ years of machine learning experience
Experience working in research or experimental environments