Machine Learning Researcher working with a diverse team to integrate ML techniques into fusion technology. Collaborating with scientists and engineers to drive innovative energy solutions.
About the role
- 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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