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

Nice to Haves

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.)

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

Salary is competitive and based on candidate's experience and location
Annual cash bonuses, commissions for sales roles, stock grants, and comprehensive benefits package
Culture of belonging where everyone can thrive