AI Research Scientist

<h3>📋 Description</h3> • As an Applied AI Research Scientist at Autodesk Research, you will be doing applied research that will help our customers imagine, design, and make a better world. • We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. • This role will report to a Manager of Research Science in the AI Lab. • Develop new ML models and AI techniques. • Lead on research projects within a global team. • Review relevant AI/ML literature to identify emerging methods, technologies, and best practices. • Explore new data sources and discover techniques for best leveraging data. <h3>🎯 Requirements</h3> • A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines • Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions) • Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) • Familiarity with PyTorch , TensorFlow , JAX or similar frameworks • Strong coding abilities in Python • Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM models, IFC files, AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings) • Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation) • 2D & 3D Generative AI LLMs and Natural Language Processing • Multi-modal deep learning and/or information retrieval • Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry , discrete geometry , functional mapping, geometric deep learning, graph neural networks) • Publication track record in machine learning conferences and/or journals • Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience) <h3>🏖️ Benefits</h3> • Salary is one part of Autodesk’s competitive compensation package. • Offers are based on the candidate’s experience and geographic location. • Compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.