Job Requisition ID #
25WD90807
Position Overview
We are seeking a highly motivated Researcher to join our team. This role focuses on advancing the capabilities of large language models (LLMs), and vision-language models (VLMs), in generative CAD tasks. The ideal candidate will have a Masters, PhD or equivalent experience in a relevant field, with a strong publication record in machine learning. A background in computational physics, computational design, mechanical engineering or related disciplines is considered a strong asset. As part of this role, you will contribute to the development of algorithms that utilize AI for generating the geometry of mechanical assemblies.
Location: Toronto.
Duration: 6-month project-based contract, with potential for extension.

Responsibilities

• AI Algorithm Development: Develop and implement advanced generative AI algorithms to enhance CAD capabilities in design workflows
• Prototype Development: Create prototypes to test and demonstrate the functionality of generative AI tools for CAD applications
• Data Analysis: Analyze research data and user feedback to continually improve the performance and usability of AI tools
• Collaborate with Research Scientists: Work closely with research scientists to translate complex concepts into clear and intuitive prototypes tools
• Iterative Design & Feedback: Participate in iterative design processes, incorporating user feedback and research insights

Minimum Qualifications

• Graduate Degree: Masters or PhD in machine learning, AI, or a related field
• Publication record: A strong track record of publications in machine learning
• Proficiency with modern ML frameworks: (e.g., PyTorch, JAX)
• Transformers: Experience training and building transformer models
• Geometry expertise: BREP and mesh geometry
• Technical Proficiency: Strong programming skills in languages such as Python, C++, or Java, with experience in AI/ML libraries and frameworks
• Research Experience: Demonstrated experience in conducting research and developing innovative solutions in the field of AI and generative design
• Problem-Solving: Excellent problem-solving skills and the ability to translate complex technical requirements into intuitive UI solutions
• Collaboration: Ability to work effectively in a collaborative research environment, communicating clearly with diverse team members

Preferred Qualifications

• CAD Workflows: Familiarity with CAD software and principles, with experience in integrating AI solutions into CAD workflows
• Mechanical design experience: Mechanical design experience, maker experience
• Computational Physics experience: Simulation and solver development

Learn More
About Autodesk
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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.
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• AI Algorithm Development: Develop and implement advanced generative AI algorithms to enhance CAD capabilities in design workflows
• Prototype Development: Create prototypes to test and demonstrate the functionality of generative AI tools for CAD applications
• Data Analysis: Analyze research data and user feedback to continually improve the performance and usability of AI tools
• Collaborate with Research Scientists: Work closely with research scientists to translate complex concepts into clear and intuitive prototypes tools
• Iterative Design & Feedback: Participate in iterative design processes, incorporating user feedback and research insight