**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** 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. **Diversity & Belonging** We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging **Are you an existing contractor or consultant with Autodesk?** Please search for open jobs and apply internally (not on this external site).