Develop and implement novel machine learning models for motion generation in the context of character animation
Experiment with and analyze motion capture and key-framed animation datasets
Collaborate with a cross-functional team to integrate and test new methods within existing animation workflows
Review relevant AI/ML literature to identify emerging methods, technologies, and baseline approaches
Document research findings and present results to the broader research team and other stakeholders
Contribute to the publication of research papers and patents based on your findings
Requirements
Full-time student pursuing an MS or Ph.D. (preferred) in Computer Science, Graphics, Machine Learning or similar in an accredited program with at least one academic term to complete post-internship
Proven experience in machine learning, with a focus on motion generation or character animation
Strong programming skills in Python and familiarity with machine learning frameworks like TensorFlow or PyTorch
Experience conducting research and publishing results
Previous publications in the field of motion generation (preferred)
Experience with Transformer and Diffusion-based models (preferred)
Experience developing for character animation tools like Maya or 3ds Max (preferred)
Passion for and experience in the character animation and/or visual effects industry (preferred)
Benefits
Salary is one part of Autodesk’s competitive compensation package.
Offers are based on the candidate’s experience, educational level, and geographic location.
Equal Employment Opportunity and inclusive culture (diversity & belonging initiatives).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningmotion generationcharacter animationprogramming in PythonTensorFlowPyTorchTransformer modelsDiffusion-based modelsresearch publicationdata analysis