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 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.

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