AI Research Scientist: AEC. Remote US or Canada
Posted 2025-08-15
Remote, USA
Full Time
Immediate Start
Job Requisition ID #
25WD85985
French job description to follow!/La description de poste en francais se trouve plus bas!
Position Overview
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.
Responsibilities
• 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
Minimum Qualifications
• 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
Preferred Qualifications
• 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)
----------------------------------------------------------------------------------------------------------------------------
Description du poste
En tant que chercheur en IA appliquee chez Autodesk Research, vous ferez de la recherche appliquee qui aidera nos clients a imaginer, concevoir et fabriquer un monde meilleur.
Nous sommes une equipe de scientifiques, de chercheurs, d'ingenieurs et de concepteurs qui travaillent ensemble sur des projets allant des systemes de conception bases sur l'apprentissage, a la vision par ordinateur, au graphisme, a la robotique, a l'interaction homme-machine, au developpement durable, a la simulation, a la fabrication, a la conception architecturale et a la construction.
Ce poste est place sous l'autorite d'un responsable de la recherche scientifique au sein du laboratoire d'intelligence artificielle.
Responsabilites
• Developper de nouveaux modeles de ML et de nouvelles techniques d'IA
• Diriger des projets de recherche au sein d'une equipe internationale
• Examiner la documentation pertinente sur l'IA/ML afin d'identifier les methodes, les technologies et les meilleures pratiques emergentes
• Explorer de nouvelles sources de donnees et decouvrir des techniques permettant d'exploiter au mieux les donnees
Qualifications minimales
• Master ou doctorat dans un domaine lie a l'IA/ML tel que : Informatique, mathematiques, statistiques, physique, linguistique, genie mecanique, architecture ou disciplines connexes
• Solide experience dans l'application des techniques de Deep Learning (y compris la mise en uvre d'architectures personnalisees, l'optimisation des performances des modeles, le developpement de nouvelles fonctions de perte et le deploiement de solutions pretes a la production)
• Familiarite avec les methodes statistiques pour l'apprentissage automatique (par exemple, methodes bayesiennes, HMM, modeles graphiques, reduction de la dimension, clustering, classification, techniques de regression, etc.)
• Familiarite avec PyTorch, TensorFlow, JAX ou des frameworks similaires
• Solides capacites de codage en Python
Qualifications preferees
• Experience dans les domaines de l'architecture, de l'ingenierie et/ou de la construction, y compris l'expertise avec les formats de donnees specifiques a l'industrie (par exemple, les modeles BIM, les fichiers IFC, les documents contractuels AEC et les dessins tels que les jeux de dessins, les specifications ou les dessins d'atelier)
• Connaissance de la representation et de la gestion des donnees structurees dans les flux de travail AEC (modelisation des donnees du batiment, specifications structurelles, documentation du projet)
• IA generative 2D et 3D
• LLM et traitement du langage naturel
• Apprentissage profond multimodal et/ou recherche d'informations
• Geometrie informatique et methodes geometriques (par exemple, analyse des formes, topologie, geometrie differentielle, geometrie discrete, cartographie fonctionnelle, apprentissage profond geometrique, reseaux neuronaux graphiques)
• Experience de publication dans des conferences et/ou des revues sur l'apprentissage automatique
• Experience significative en matiere de recherche post-universitaire, ou 5 annees ou plus d'experience professionnelle (le titre du poste sera proportionnel a l'experience)
#LIREMOTE
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers. Apply tot his job
25WD85985
French job description to follow!/La description de poste en francais se trouve plus bas!
Position Overview
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.
Responsibilities
• 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
Minimum Qualifications
• 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
Preferred Qualifications
• 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)
----------------------------------------------------------------------------------------------------------------------------
Description du poste
En tant que chercheur en IA appliquee chez Autodesk Research, vous ferez de la recherche appliquee qui aidera nos clients a imaginer, concevoir et fabriquer un monde meilleur.
Nous sommes une equipe de scientifiques, de chercheurs, d'ingenieurs et de concepteurs qui travaillent ensemble sur des projets allant des systemes de conception bases sur l'apprentissage, a la vision par ordinateur, au graphisme, a la robotique, a l'interaction homme-machine, au developpement durable, a la simulation, a la fabrication, a la conception architecturale et a la construction.
Ce poste est place sous l'autorite d'un responsable de la recherche scientifique au sein du laboratoire d'intelligence artificielle.
Responsabilites
• Developper de nouveaux modeles de ML et de nouvelles techniques d'IA
• Diriger des projets de recherche au sein d'une equipe internationale
• Examiner la documentation pertinente sur l'IA/ML afin d'identifier les methodes, les technologies et les meilleures pratiques emergentes
• Explorer de nouvelles sources de donnees et decouvrir des techniques permettant d'exploiter au mieux les donnees
Qualifications minimales
• Master ou doctorat dans un domaine lie a l'IA/ML tel que : Informatique, mathematiques, statistiques, physique, linguistique, genie mecanique, architecture ou disciplines connexes
• Solide experience dans l'application des techniques de Deep Learning (y compris la mise en uvre d'architectures personnalisees, l'optimisation des performances des modeles, le developpement de nouvelles fonctions de perte et le deploiement de solutions pretes a la production)
• Familiarite avec les methodes statistiques pour l'apprentissage automatique (par exemple, methodes bayesiennes, HMM, modeles graphiques, reduction de la dimension, clustering, classification, techniques de regression, etc.)
• Familiarite avec PyTorch, TensorFlow, JAX ou des frameworks similaires
• Solides capacites de codage en Python
Qualifications preferees
• Experience dans les domaines de l'architecture, de l'ingenierie et/ou de la construction, y compris l'expertise avec les formats de donnees specifiques a l'industrie (par exemple, les modeles BIM, les fichiers IFC, les documents contractuels AEC et les dessins tels que les jeux de dessins, les specifications ou les dessins d'atelier)
• Connaissance de la representation et de la gestion des donnees structurees dans les flux de travail AEC (modelisation des donnees du batiment, specifications structurelles, documentation du projet)
• IA generative 2D et 3D
• LLM et traitement du langage naturel
• Apprentissage profond multimodal et/ou recherche d'informations
• Geometrie informatique et methodes geometriques (par exemple, analyse des formes, topologie, geometrie differentielle, geometrie discrete, cartographie fonctionnelle, apprentissage profond geometrique, reseaux neuronaux graphiques)
• Experience de publication dans des conferences et/ou des revues sur l'apprentissage automatique
• Experience significative en matiere de recherche post-universitaire, ou 5 annees ou plus d'experience professionnelle (le titre du poste sera proportionnel a l'experience)
#LIREMOTE
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers. Apply tot his job