<div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Job Requisition ID #</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div></div></div></div>25WD92177<p></p><p></p><div><div><p><b><span>25WD92177, PhD Intern, AI Research Scientist</span></b></p><p></p><p><i>French translation to follow!/Traduction française à suivre!</i></p><p></p><p><b>About the Intern Program</b></p><p>The 2026 summer intern program runs for 12-16 weeks from May - September. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, participate in tech talks and other activities designed to support your personal and professional development. Our internships align with Autodesk’s Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences. </p><p></p><p><b><span>Position Overview<span> </span></span></b><span> </span></p></div><div><p><span><span>As an intern in Autodesk Research’s AI Lab, you will explore and apply advanced machine learning techniques to empower our customers in designing and building a better, safer, and more sustainable world. </span><span>We are a team of researchers, engineers, and industry domain experts working on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural </span><span>design</span><span> and construction</span><span>.</span></span><span> </span></p></div><div><p><span><span>   </span></span><span> </span></p></div><div><p><span><span>We are seeking an intern to join our research team focused on generative methods for content creation in the media and entertainment space. In this role, you will explore novel generative models to advance character animation through physics-based approaches. </span><span>The purpose of this research is to enable intuitive and seamless use of physics within our animation tools</span><span>.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>Autodesks AI Lab is actively engaged in the broader research community, targeting publications at top-tier conferences such as CVPR, NeurIPS, ICML, SIGGRAPH, and ICLR</span><span>. We collaborate with top academic &amp; industry labs, combining the best of an academic environment with product-driven research.</span></span></p><p></p></div><div><p><b><span>Minimum Qualifications</span></b></p></div><div><ul><li><p><span><span>Full-time student pursuing a Ph.D. in Computer Science, </span><span>Computer </span><span>Graphics, </span><span>Computational Physics, </span><span>Machine </span><span>Learning</span><span> or a discipline in an accredited program with at least one academic term to complete post-internship</span></span></p></li><li><p><span><span>Broad understanding of machine learning and deep learning</span></span></p></li><li><p><span><span>Excellent Programming and software development skills, with experience in Python</span><span>, or C++</span></span></p></li><li><p><span><span>Proficient with ML &amp; DL platforms &amp; libraries (</span><span>PyTorch</span><span>, TensorFlow, </span><span>Keras</span><span>, </span><span>ONNX/Runtime, </span><span>scikit-learn, etc.)</span></span></p></li><li><p><span><span>Experience conducting research and publishing results</span></span></p></li><li><p><span><span>An excellent communicator and team player</span></span></p></li></ul></div><div><p></p></div><div><p><b><span>Preferred Qualifications</span></b><span><span> </span></span><span> </span></p></div></div><div><ul><li><p><span><span>Deep </span><span>expertise</span><span> in </span><span>a</span><span>reas</span><span> such as c</span><span>omputer graphics</span><span>, 2D/3D geometry representation learning,</span><span> generative</span><span> models, and unsupervised/self-supervised learning</span></span></p></li><li><p><span><span>Experience with</span><span> differentiable physics, data-driven computational physics, solver-driven learning (physics-in-the-loop), </span><span>physics-informed models, multi-physics, and coupled systems</span></span></p></li><li><p><span><span>Bonus: experience with </span><span>physics </span><span>real-time engines (such </span><span>as Bullet, </span><span>Unreal</span><span>, or </span><span>PhysX</span><span>)</span></span></p></li><li><p><span><span>Bonus: experience with modeling tools (such as Maya, </span><span>Houdini, or</span><span> </span><span>Blender</span><span>)</span></span></p></li></ul><p></p><div><div><div><div><div><div><div><div><div><div><div><div>______________________________________________________________________________________________________________</div></div></div></div></div></div></div></div></div></div></div></div><p><b>25WD92177, stagiaire doctorant, chercheur en intelligence artificielle</b></p><p></p><p><b>À propos du programme de stages</b></p><p>Le programme de stages dété 2026 se déroule sur 12 à 16 semaines, de mai à septembre. En tant que stagiaire, vous contribuerez à des projets significatifs, serez encadré par des leaders du secteur, participerez à des conférences techniques et à dautres activités conçues pour soutenir votre développement personnel et professionnel.</p><p>Nos stages sinscrivent dans le cadre de lapproche « Flexible Workplace » dAutodesk, qui vise à répondre aux besoins de notre entreprise tout en offrant une certaine flexibilité pour répondre aux préférences en matière de travail au bureau, à distance ou hybride.</p><p></p><p><b>Aperçu du poste</b></p><p>En tant que stagiaire au sein du laboratoire dIA dAutodesk Research, vous explorerez et appliquerez des techniques avancées dapprentissage automatique afin de permettre à nos clients de concevoir et de construire un monde meilleur, plus sûr et plus durable. Nous sommes une équipe de chercheurs, dingénieurs et dexperts du secteur qui travaillent sur des projets allant des systèmes de conception basés sur lapprentissage à la vision par ordinateur, en passant par le graphisme, la robotique, linteraction homme-machine, la durabilité, la simulation, la fabrication, la conception architecturale et la construction.</p><p>Nous recherchons un stagiaire pour rejoindre notre équipe de recherche spécialisée dans les méthodes génératives pour la création de contenu dans le domaine des médias et du divertissement. À ce poste, vous explorerez de nouveaux modèles génératifs afin de faire progresser lanimation de personnages grâce à des approches basées sur la physique. Lobjectif de cette recherche est de permettre une utilisation intuitive et transparente de la physique dans nos outils danimation.</p><p></p><p>Le laboratoire dIA dAutodesk est activement engagé dans la communauté de recherche au sens large et vise à publier dans des conférences de premier plan telles que CVPR, NeurIPS, ICML, SIGGRAPH et ICLR. Nous collaborons avec les meilleurs laboratoires universitaires et industriels, combinant le meilleur de lenvironnement universitaire et de la recherche axée sur les produits.</p><p></p><p><b>Qualifications minimales</b></p><ul><li><p>Étudiant à temps plein poursuivant un doctorat en informatique, infographie, physique computationnelle, apprentissage automatique ou dans une discipline dun programme accrédité avec au moins un semestre universitaire à terminer après le stage</p></li><li><p>Compréhension générale de lapprentissage automatique et de lapprentissage profond</p></li><li><p>Excellentes compétences en programmation et en développement de logiciels, avec une expérience en Python ou C++</p></li><li><p>Maîtrise des plateformes et bibliothèques ML &amp; DL (PyTorch, TensorFlow, Keras, ONNX/Runtime, scikit-learn, etc.)</p></li><li><p>Expérience dans la conduite de recherches et la publication de résultats</p></li><li><p>Excellent communicateur et esprit déquipe</p></li></ul><p></p><p><b>Qualifications souhaitées</b></p><ul><li><p>Expertise approfondie dans des domaines tels que linfographie, lapprentissage de la représentation géométrique 2D/3D, les modèles génératifs et lapprentissage non supervisé/auto-supervisé</p></li><li><p>Expérience en physique différentiable, physique computationnelle basée sur les données, apprentissage basé sur les solveurs (physics-in-the-loop), modèles basés sur la physique, multiphysique et systèmes couplés</p></li><li><p>Bonus : expérience avec les moteurs physiques en temps réel (tels que Bullet, Unreal ou PhysX)</p></li><li><p>Bonus : expérience avec les outils de modélisation (tels que Maya, Houdini ou Blender)</p></li></ul></div><p></p><p><span><b>Learn More</b></span></p><p></p><p><b>About Autodesk</b></p><p><span>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.</span></p><p></p><p><span>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.</span></p><p></p><p><span>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!</span></p><p></p><div><div><div><div><div><div><div><p><b>Salary Transparency</b></p></div></div></div></div></div></div></div><p>Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location, and can exceed this range.</p><p></p><p>For U.S.-based roles, we expect a starting annualized intern base salary to be between:</p><ul><li>$47,840 and $95,680 (undergraduate students)</li><li>$72,800 and $118,500 (Masters/MBA students)</li><li>$118,560 and $162,240 (PhD students)</li></ul><p></p><p><b><span>Equal Employment Opportunity</span> </b></p><p>At Autodesk, were 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.</p><p></p><p><b>Diversity &amp; Belonging</b><br /><span>We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: </span><a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.autodesk.com%2Fcompany%2Fdiversity-and-belonging&amp;data=05%7C01%7Canjana.preethi%40autodesk.com%7C7e468118978f4994078f08db772d3f46%7C67bff79e7f914433a8e5c9252d2ddc1d%7C0%7C0%7C638234808438788331%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=dVD8soPEN9XLo990FmFqIU6owiEQ7ceXdn%2B13VuFUyE%3D&amp;reserved=0" target="_blank"><span><span><span>https://www.autodesk.com/company/diversity-and-belonging</span></span></span></a></p>

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