PhD Intern, AI Research Scientist

Autodesk • San Francisco, CA

74d • $118,560 - $162,240 • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• 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)

Benefits

• Flexible Workplace approach
• Mentorship by industry leaders
• Participation in tech talks and other activities designed to support personal and professional development

What This Job Offers

• Career Level: Intern
• Industry: Publishing Industries
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees