AI Research Scientist – Structured & Spatial Modeling

AMER - United States - California - San Francisco - One Market, United States

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Autodesk

Autodesk is a global leader in design and make technology, with expertise across architecture, engineering, construction, design, manufacturing, and entertainment.

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Job Requisition ID #

25WD89328

The translation into French can be found below!/La traduction en français se trouve ci-dessous !

Position Overview

As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.

You'll be joining a rapidly growing team working on a project that aims to revolutionize the design of nearly every aspect of the built environment. Your contributions will directly influence how designers, architects, and engineers interact with AI tools in the future.

This role is fully remote-friendly. Our team operates primarily remotely with team members distributed across the globe, with offices in London, Boston, Toronto and other locations worldwide. At Autodesk, we embrace remote work while fostering connection through regular team offsites for collaborative planning and relationship building. This balanced approach ensures you can work where you're most productive while maintaining meaningful connections with colleagues.

This role will report to a Manager of Research Science in the AI Lab.

Location: US or Canada Remote or Hybrid
 

Responsibilities

  • Develop and lead research on novel ML models for structured generation and multi-modal understanding of complex visual and spatial content

  • Review relevant AI/ML literature to identify emerging methods in generative models and autoregressive architectures

  • Explore new data sources and discover techniques for leveraging structured representations in design workflows

Minimum Qualifications

  • A PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines

  • Publications in venues such as NeurIPS, ICLR, GECCO, MLSys, JMLR, ICML, IROS, EMNLP, MICCAI, Medical Image Analysis, IEEE TMI, ICDAR, CVPR or other high impact ML conferences and journals

  • Strong background applying Deep Learning techniques, particularly generative models and spatial reasoning (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)

  • Strong coding abilities in PyTorch

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) and structured data representation in AEC workflows

  • Experience in specialized domains requiring sequential or structured generation of complex spatial annotations, such as medical imaging (autoregressive segmentation, sequential annotation), document layout analysis (technical diagrams, forms, scientific papers), or cartography/GIS (map annotation, symbol placement)

  • Experience with LLMs and autoregressive models for structured representations such as code generation, molecular/biological discovery, or other domain-specific sequence modeling

  • Multi-modal deep learning and/or information retrieval experience

  • Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)

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.

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Description du poste

En tant que chercheur en intelligence artificielle chez Autodesk Research, vous mÚnerez des recherches fondamentales et appliquées qui aideront nos clients à imaginer, concevoir et créer un monde meilleur.

Vous rejoindrez une équipe en pleine croissance qui travaille sur un projet visant à révolutionner la conception de presque tous les aspects de l'environnement bùti. Vos contributions auront une influence directe sur la maniÚre dont les concepteurs, les architectes et les ingénieurs interagiront avec les outils d'intelligence artificielle à l'avenir.

Ce poste est entiĂšrement compatible avec le tĂ©lĂ©travail. Notre Ă©quipe travaille principalement Ă  distance, avec des membres rĂ©partis dans le monde entier et des bureaux Ă  Londres, Boston, Toronto et dans d'autres villes. Chez Autodesk, nous encourageons le tĂ©lĂ©travail tout en favorisant les liens entre les membres de l'Ă©quipe grĂące Ă  des rĂ©unions rĂ©guliĂšres hors site afin de planifier le travail et de renforcer les relations. Cette approche Ă©quilibrĂ©e vous permet de travailler lĂ  oĂč vous ĂȘtes le plus productif tout en maintenant des liens significatifs avec vos collĂšgues.

Ce poste sera rattaché à un responsable de la recherche scientifique au sein du laboratoire d'IA.

Lieu : États-Unis ou Canada, à distance ou en mode hybride

Responsabilités

  • DĂ©velopper et diriger des recherches sur de nouveaux modĂšles d'apprentissage automatique pour la gĂ©nĂ©ration structurĂ©e et la comprĂ©hension multimodale de contenus visuels et spatiaux complexes

  • Passer en revue la littĂ©rature pertinente en matiĂšre d'IA/d'apprentissage automatique afin d'identifier les mĂ©thodes Ă©mergentes dans les modĂšles gĂ©nĂ©ratifs et les architectures autorĂ©gressives

  • Explorer de nouvelles sources de donnĂ©es et dĂ©couvrir des techniques permettant d'exploiter les reprĂ©sentations structurĂ©es dans les workflows de conception

Qualifications minimales

  • Doctorat dans un domaine liĂ© Ă  l'IA/ML, tel que : informatique, mathĂ©matiques, statistiques, physique, linguistique, gĂ©nie mĂ©canique, architecture ou disciplines connexes

  • Publications dans des revues telles que NeurIPS, ICLR, GECCO, MLSys, JMLR, ICML, IROS, EMNLP, MICCAI, Medical Image Analysis, IEEE TMI, ICDAR, CVPR ou d'autres confĂ©rences et revues de ML Ă  fort impact

  • Solide expĂ©rience dans l'application des techniques d'apprentissage profond, en particulier les modĂšles gĂ©nĂ©ratifs et le raisonnement spatial (y compris la mise en Ɠuvre d'architectures personnalisĂ©es, l'optimisation des performances des modĂšles, le dĂ©veloppement de nouvelles fonctions de perte et le dĂ©ploiement de solutions prĂȘtes Ă  la production)

  • Solides compĂ©tences en codage dans PyTorch

Qualifications souhaitées

  • ExpĂ©rience dans les domaines de l'architecture, de l'ingĂ©nierie et/ou de la construction, y compris une expertise des formats de donnĂ©es spĂ©cifiques Ă  l'industrie (par exemple, modĂšles BIM, fichiers IFC, documents contractuels et dessins AEC) et de la reprĂ©sentation structurĂ©e des donnĂ©es dans les flux de travail AEC

  • ExpĂ©rience dans des domaines spĂ©cialisĂ©s nĂ©cessitant la gĂ©nĂ©ration sĂ©quentielle ou structurĂ©e d'annotations spatiales complexes, tels que l'imagerie mĂ©dicale (segmentation autorĂ©gressive, annotation sĂ©quentielle), l'analyse de la mise en page de documents (diagrammes techniques, formulaires, articles scientifiques) ou la cartographie/SIG (annotation de cartes, placement de symboles)

  • ExpĂ©rience avec les LLM et les modĂšles autorĂ©gressifs pour les reprĂ©sentations structurĂ©es telles que la gĂ©nĂ©ration de code, la dĂ©couverte molĂ©culaire/biologique ou d'autres modĂ©lisations de sĂ©quences spĂ©cifiques Ă  un domaine

  • ExpĂ©rience en apprentissage profond multimodal et/ou en recherche d'informations

  • ExpĂ©rience significative en recherche postuniversitaire ou 5 ans ou plus d'expĂ©rience professionnelle (le titre/poste rĂ©el sera proportionnel Ă  l'expĂ©rience)

Chez Autodesk, nous crĂ©ons un lieu de travail diversifiĂ© et une culture inclusive afin de donner Ă  davantage de personnes la possibilitĂ© d'imaginer, de concevoir et de crĂ©er un monde meilleur. Autodesk est fier d'ĂȘtre un employeur garantissant l'Ă©galitĂ© des chances et examine toutes les candidatures sans distinction de race, de couleur, de religion, d'Ăąge, de sexe, d'orientation sexuelle, d'identitĂ© sexuelle, d'origine nationale, de handicap, de statut d'ancien combattant ou de toute autre caractĂ©ristique protĂ©gĂ©e par la loi. Nous examinons Ă©galement toutes les candidatures qualifiĂ©es, indĂ©pendamment des antĂ©cĂ©dents judiciaires, conformĂ©ment Ă  la lĂ©gislation en vigueur.

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. For U.S.-based roles, we expect a starting base salary between $147,300 and $254,100. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Salary is one part of Autodesk’s competitive compensation package. For Canada-BC based roles, we expect a starting base salary between $141,000 and $206,800. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

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.

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

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Tags: Architecture Autoregressive models Computer Science Deep Learning EMNLP Engineering Generative modeling ICLR ICML JMLR Linguistics LLMs Machine Learning Mathematics ML models NeurIPS PhD Physics PyTorch Research Statistics

Perks/benefits: Career development Competitive pay Conferences

Regions: Remote/Anywhere North America
Country: United States

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