PhD Intern, AI Research Scientist

Job Requisition ID #

25WD92177

25WD92177, PhD Intern, AI Research Scientist

French translation to follow!/Traduction franaise suivre!

About the Intern Program

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.

Position Overview

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. 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 design and construction.

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. The purpose of this research is to enable intuitive and seamless use of physics within our animation tools.

Autodesk's AI Lab is actively engaged in the broader research community, targeting publications at top-tier conferences such as CVPR, NeurIPS, ICML, SIGGRAPH, and ICLR. We collaborate with top academic & industry labs, combining the best of an academic environment with product-driven research.

Minimum Qualifications

• Full-time student pursuing a Ph.D. in Computer Science, Computer Graphics, Computational Physics, Machine Learning or a discipline in an accredited program with at least one academic term to complete post-internship
• Broad understanding of machine learning and deep learning
• Excellent Programming and software development skills, with experience in Python, or C++
• Proficient with ML & DL platforms & libraries (PyTorch, TensorFlow, Keras, ONNX/Runtime, scikit-learn, etc.)
• Experience conducting research and publishing results
• An excellent communicator and team player

Preferred Qualifications

• Deep expertise in areas such as computer graphics, 2D/3D geometry representation learning, generative models, and unsupervised/self-supervised learning
• Experience with differentiable physics, data-driven computational physics, solver-driven learning (physics-in-the-loop), physics-informed models, multi-physics, and coupled systems
• Bonus: experience with physics real-time engines (such as Bullet, Unreal, or PhysX)
• Bonus: experience with modeling tools (such as Maya, Houdini, or Blender)

25WD92177, stagiaire doctorant, chercheur en intelligence artificielle

propos du programme de stages

Le programme de stages d't 2026 se droule sur 12 16 semaines, de mai septembre. En tant que stagiaire, vous contribuerez des projets significatifs, serez encadr par des leaders du secteur, participerez des confrences techniques et d'autres activits conues pour soutenir votre dveloppement personnel et professionnel.

Nos stages s'inscrivent dans le cadre de l'approche Flexible Workplace d'Autodesk, qui vise rpondre aux besoins de notre entreprise tout en offrant une certaine flexibilit pour rpondre aux prfrences en matire de travail au bureau, distance ou hybride.

Aperu du poste

En tant que stagiaire au sein du laboratoire d'IA d'Autodesk Research, vous explorerez et appliquerez des techniques avances d'apprentissage automatique afin de permettre nos clients de concevoir et de construire un monde meilleur, plus sr et plus durable. Nous sommes une quipe de chercheurs, d'ingnieurs et d'experts du secteur qui travaillent sur des projets allant des systmes de conception bass sur l'apprentissage la vision par ordinateur, en passant par le graphisme, la robotique, l'interaction homme-machine, la durabilit, la simulation, la fabrication, la conception architecturale et la construction.

Nous recherchons un stagiaire pour rejoindre notre quipe de recherche spcialise dans les mthodes gnratives pour la cration de contenu dans le domaine des mdias et du divertissement. ce poste, vous explorerez de nouveaux modles gnratifs afin de faire progresser l'animation de personnages grce des approches bases sur la physique. L'objectif de cette recherche est de permettre une utilisation intuitive et transparente de la physique dans nos outils d'animation.

Le laboratoire d'IA d'Autodesk est activement engag dans la communaut de recherche au sens large et vise publier dans des confrences de premier plan telles que CVPR, NeurIPS, ICML, SIGGRAPH et ICLR. Nous collaborons avec les meilleurs laboratoires universitaires et industriels, combinant le meilleur de l'environnement universitaire et de la recherche axe sur les produits.

Qualifications minimales

• tudiant temps plein poursuivant un doctorat en informatique, infographie, physique computationnelle, apprentissage automatique ou dans une discipline d'un programme accrdit avec au moins un semestre universitaire terminer aprs le stage
• Comprhension gnrale de l'apprentissage automatique et de l'apprentissage profond
• Excellentes comptences en programmation et en dveloppement de logiciels, avec une exprience en Python ou C++
• Matrise des plateformes et bibliothques ML & DL (PyTorch, TensorFlow, Keras, ONNX/Runtime, scikit-learn, etc.)
• Exprience dans la conduite de recherches et la publication de rsultats
• Excellent communicateur et esprit d'quipe

Qualifications souhaites

• Expertise approfondie dans des domaines tels que l'infographie, l'apprentissage de la reprsentation gomtrique 2D/3D, les modles gnratifs et l'apprentissage non supervis/auto-supervis
• Exprience en physique diffrentiable, physique computationnelle base sur les donnes, apprentissage bas sur les solveurs (physics-in-the-loop), modles bass sur la physique, multiphysique et systmes coupls
• Bonus : exprience avec les moteurs physiques en temps rel (tels que Bullet, Unreal ou PhysX)
• Bonus : exprience avec les outils de modlisation (tels que Maya, Houdini ou Blender)

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. Offers are based on the candidate's experience, educational level, and geographic location, and can exceed this range.

For U.S.-based roles, we expect a starting annualized intern base salary to be between:

• $47,840 and $95,680 (undergraduate students)
• $72,800 and $118,500 (Masters/MBA students)
• $118,560 and $162,240 (PhD students)

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: