Intern in Autodesk Research’s AI Lab exploring advanced machine learning techniques. Focused on generative methods for character animation and physics-based approaches.
Responsibilities
Explore and apply advanced machine learning techniques in Autodesk Research’s AI Lab
Contribute to meaningful projects focused on generative methods for content creation
Enable intuitive and seamless use of physics within animation tools
Collaborate with researchers, engineers, and industry domain experts on various projects including learning-based design systems, computer vision, and robotics
Target publications at top-tier conferences (CVPR, NeurIPS, ICML, SIGGRAPH, ICLR)
Requirements
Full-time student pursuing a Ph.D. in Computer Science, Computer Graphics, Computational Physics, Machine Learning or a related discipline
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: Deep expertise in areas like 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-informed models, multi-physics, and coupled systems
Bonus: experience with physics real-time engines (Bullet, Unreal, or PhysX)
Bonus: experience with modeling tools (Maya, Houdini, or Blender)
Benefits
Flexible workplace approach supporting office, remote and hybrid work preferences
Mentorship from industry leaders
Participation in tech talks and professional development activities
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