Research Scientist

Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with our software. Autodesk gives you the power to make anything.

• Explore Machine Learning open source/commercial solutions with focus on clustering and Deep Learning
• Research, invent, and prototype novel machine learning methods, geometry representations, algorithms, and techniques and validate the results
• Document and communicate the intent and the results in clear terms to both technical and non-technical team members
• Keep current with latest trends and technologies to anticipate future development needs and requirements
• Architect and implement prototypes and software components with the team
• Collaborate closely with various groups throughout the company and across multiple geographic locations to deliver outstanding solutions
• Contribute to a research program exploring geometry generation, simulation, and optimization using AI
• Help plan, organize, and communicate team accomplishments and technology outputs
• Team player, yet responsible for owning deliveries

Required qualifications and skills

• BS/MS/PhD in in Math, Computer Science, Computer Engineering, or any other relevant disciplines with a background in Machine Learning, Artificial Intelligence, or related technical fields
• Hands-on experience in Machine Learning, Artificial Intelligence and data science techniques
• Hands-on experience with one or more open-source Machine Learning framework
• Excellent knowledge of linear algebra and calculus
• Good hands-on experience in one or more of the following languages: Python, Java, Scala
• Familiar with Linux/Mac environment
• Ability to quickly adapt to new situations and to learn new technologies
• Ability to collaborate and communicate effectively with a multicultural local and remote team
• Excellent written and oral communication skills in English

Preferred qualifications and skills

• Experience with supervised learning and Deep Learning
• Familiar with unsupervised learning and clustering techniques
• knowledge of geometry and topology concepts, representations and data structures (such as NURBS, splines, level sets, surface and volumetric meshes, point clouds, analytical surfaces/solids, functional representations, subdivision surfaces, T-splines, etc.)
• knowledge of 3D computer graphics and visualization techniques and libraries
• Hands-on experience in Object-Oriented design and programming
• Familiar with collaborative development environments and version control systems such as git
• Experience with HPC, cloud computing and parallel programming is a plus
• Experience with C++, STL, OpenGL, OpenMP, OpenCL (or alternatives) is a plus