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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in multimodal AI approaches, 3D modeling, and computational design, with strong programming skills in Python and experience in designing experiments with complex datasets. Proven ability to collaborate effectively within multidisciplinary teams and communicate research findings through various formats.
Highest-signal resume keywords
PhD In Computer ScienceResearch Experience In AI/MLStrong Programming Skills In PythonExperience With Multimodal AI3D Modeling And Reconstruction
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningComputer Vision3D ReconstructionGeometry GenerationComputational DesignExperiment DesignData AnalysisAI AgentsWorld ModelsSimulation
Soft Skills
CollaborationCommunication
Tools & Technologies
Modern ML Frameworks3D Modeling SystemsData Pipelines
Industry Keywords
AECSpatial ComputingHuman PerceptionHuman-Centered AIVirtual Environments
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Explore and apply novel technologies and techniques at Autodesk Research
- Research multimodal AI approaches for generating and editing novel 3D representations of built environments
- Develop methods using foundation models, AI agents, and/or world models
- Work with multimodal datasets, including visual, spatial, behavioral, and physics simulation data
- Design experiments and benchmarks evaluating AI predictions against human responses
- Build and evaluate research prototypes for real and simulated environments
- Document and communicate findings through papers, presentations, and demonstrations
- Collaborate with a multidisciplinary research team across AI, spatial computing, AEC, and human perception
- Explore how research prototypes can inform future Autodesk design workflows
Requirements
What you’ll need- Currently pursuing a PhD in Computer Science, Machine Learning, Computer Graphics, Computational Design, or a related field, with a completion date in 2028 or later
- Research experience in AI/ML, computer vision, reality capture and 3D reconstruction, 3D modeling or geometry generation, or a related computational field
- Strong programming skills, ideally with Python and modern ML frameworks
- Experience designing computational experiments and working with complex datasets
- Strong collaboration and communication skills
- Track record of contributions demonstrated through related projects, open-source work, or publications
- Preferred: experience with multimodal AI or vision-language models; world models, AI agents, or spatial intelligence; 3D, simulation, or virtual environments; human perception or human-centered AI; modern 3D modeling and reconstruction methods; AEC or computational design
- Preferred: solid understanding of 3D modeling systems and data pipelines
Benefits
Comp & perks- 16-week paid research internship program
- Tech talks and development opportunities
- Flexible Workplace approach supporting office, remote, and hybrid work based on business and team needs
- Competitive compensation package
- In-person onboarding and/or in-person ID verification may be required
