PhD Intern - Efficient 3D Generation Frameworks
Autodesk
PhD Intern - Efficient 3D Generation Frameworks
Job Description
PhD Intern - Efficient 3D Generation Frameworks
📋 Job Overview
The PhD Intern position at Autodesk focuses on developing efficient frameworks for 3D generation to advance AI-driven design tools. The role involves researching and implementing novel techniques to optimize 3D model creation processes in a collaborative R&D environment in Canada. This internship provides hands-on experience in cutting-edge computer graphics and machine learning applications for the architecture, engineering, and construction industries.
📍 Location: Toronto, ON, Canada
📅 Posted: Posted 22 Days Ago
🎯 Key Responsibilities
- Research and develop efficient algorithms for 3D content generation using AI
- Implement and optimize 3D generation frameworks within Autodesk's ecosystem
- Collaborate with cross-functional teams to integrate research into product pipelines
- Evaluate and benchmark new techniques for performance and scalability
- Contribute to technical reports and present findings to the team
✅ Required Qualifications
- Currently pursuing a PhD in Computer Science, Computer Graphics, Machine Learning, or a related field
- Strong foundation in 3D computer graphics and generative AI
- Experience with deep learning frameworks and 3D data processing
- Proficiency in Python programming
- Excellent problem-solving and communication skills
⭐ Preferred Qualifications
- Prior publications in top conferences on graphics or AI
- Experience with Autodesk software or BIM tools
- Knowledge of efficient neural network architectures for 3D generation
- Familiarity with cloud computing and distributed systems
🛠️ Required Skills
- 3D computer graphics
- Generative AI and machine learning
- Deep learning frameworks (e.g., PyTorch, TensorFlow)
- Python programming
- 3D data structures and processing (e.g., meshes, point clouds)
- Neural rendering techniques
- Optimization for efficiency in AI models
- Research methodology and experimentation
🎁 Benefits & Perks
- Competitive hourly compensation for interns
- Flexible work arrangements and remote options
- Access to state-of-the-art research facilities and tools
- Mentorship from senior researchers and engineers
- Networking opportunities within Autodesk's global R&D community
- Professional development workshops and conferences
Locations
- Toronto, ON, Canada
Salary
Estimated Salary Rangemedium confidence
45,000 - 65,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 3D computer graphicsintermediate
- Generative AI and machine learningintermediate
- Deep learning frameworks (e.g., PyTorch, TensorFlow)intermediate
- Python programmingintermediate
- 3D data structures and processing (e.g., meshes, point clouds)intermediate
- Neural rendering techniquesintermediate
- Optimization for efficiency in AI modelsintermediate
- Research methodology and experimentationintermediate
Required Qualifications
- Currently pursuing a PhD in Computer Science, Computer Graphics, Machine Learning, or a related field (experience)
- Strong foundation in 3D computer graphics and generative AI (experience)
- Experience with deep learning frameworks and 3D data processing (experience)
- Proficiency in Python programming (experience)
- Excellent problem-solving and communication skills (experience)
Preferred Qualifications
- Prior publications in top conferences on graphics or AI (experience)
- Experience with Autodesk software or BIM tools (experience)
- Knowledge of efficient neural network architectures for 3D generation (experience)
- Familiarity with cloud computing and distributed systems (experience)
Responsibilities
- Research and develop efficient algorithms for 3D content generation using AI
- Implement and optimize 3D generation frameworks within Autodesk's ecosystem
- Collaborate with cross-functional teams to integrate research into product pipelines
- Evaluate and benchmark new techniques for performance and scalability
- Contribute to technical reports and present findings to the team
Benefits
- general: Competitive hourly compensation for interns
- general: Flexible work arrangements and remote options
- general: Access to state-of-the-art research facilities and tools
- general: Mentorship from senior researchers and engineers
- general: Networking opportunities within Autodesk's global R&D community
- general: Professional development workshops and conferences
Tags & Categories
Answer 10 quick questions to check your fit for PhD Intern - Efficient 3D Generation Frameworks @ Autodesk.
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PhD Intern - Efficient 3D Generation Frameworks
Autodesk
PhD Intern - Efficient 3D Generation Frameworks
Job Description
PhD Intern - Efficient 3D Generation Frameworks
📋 Job Overview
The PhD Intern position at Autodesk focuses on developing efficient frameworks for 3D generation to advance AI-driven design tools. The role involves researching and implementing novel techniques to optimize 3D model creation processes in a collaborative R&D environment in Canada. This internship provides hands-on experience in cutting-edge computer graphics and machine learning applications for the architecture, engineering, and construction industries.
📍 Location: Toronto, ON, Canada
📅 Posted: Posted 22 Days Ago
🎯 Key Responsibilities
- Research and develop efficient algorithms for 3D content generation using AI
- Implement and optimize 3D generation frameworks within Autodesk's ecosystem
- Collaborate with cross-functional teams to integrate research into product pipelines
- Evaluate and benchmark new techniques for performance and scalability
- Contribute to technical reports and present findings to the team
✅ Required Qualifications
- Currently pursuing a PhD in Computer Science, Computer Graphics, Machine Learning, or a related field
- Strong foundation in 3D computer graphics and generative AI
- Experience with deep learning frameworks and 3D data processing
- Proficiency in Python programming
- Excellent problem-solving and communication skills
⭐ Preferred Qualifications
- Prior publications in top conferences on graphics or AI
- Experience with Autodesk software or BIM tools
- Knowledge of efficient neural network architectures for 3D generation
- Familiarity with cloud computing and distributed systems
🛠️ Required Skills
- 3D computer graphics
- Generative AI and machine learning
- Deep learning frameworks (e.g., PyTorch, TensorFlow)
- Python programming
- 3D data structures and processing (e.g., meshes, point clouds)
- Neural rendering techniques
- Optimization for efficiency in AI models
- Research methodology and experimentation
🎁 Benefits & Perks
- Competitive hourly compensation for interns
- Flexible work arrangements and remote options
- Access to state-of-the-art research facilities and tools
- Mentorship from senior researchers and engineers
- Networking opportunities within Autodesk's global R&D community
- Professional development workshops and conferences
Locations
- Toronto, ON, Canada
Salary
Estimated Salary Rangemedium confidence
45,000 - 65,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 3D computer graphicsintermediate
- Generative AI and machine learningintermediate
- Deep learning frameworks (e.g., PyTorch, TensorFlow)intermediate
- Python programmingintermediate
- 3D data structures and processing (e.g., meshes, point clouds)intermediate
- Neural rendering techniquesintermediate
- Optimization for efficiency in AI modelsintermediate
- Research methodology and experimentationintermediate
Required Qualifications
- Currently pursuing a PhD in Computer Science, Computer Graphics, Machine Learning, or a related field (experience)
- Strong foundation in 3D computer graphics and generative AI (experience)
- Experience with deep learning frameworks and 3D data processing (experience)
- Proficiency in Python programming (experience)
- Excellent problem-solving and communication skills (experience)
Preferred Qualifications
- Prior publications in top conferences on graphics or AI (experience)
- Experience with Autodesk software or BIM tools (experience)
- Knowledge of efficient neural network architectures for 3D generation (experience)
- Familiarity with cloud computing and distributed systems (experience)
Responsibilities
- Research and develop efficient algorithms for 3D content generation using AI
- Implement and optimize 3D generation frameworks within Autodesk's ecosystem
- Collaborate with cross-functional teams to integrate research into product pipelines
- Evaluate and benchmark new techniques for performance and scalability
- Contribute to technical reports and present findings to the team
Benefits
- general: Competitive hourly compensation for interns
- general: Flexible work arrangements and remote options
- general: Access to state-of-the-art research facilities and tools
- general: Mentorship from senior researchers and engineers
- general: Networking opportunities within Autodesk's global R&D community
- general: Professional development workshops and conferences
Tags & Categories
Answer 10 quick questions to check your fit for PhD Intern - Efficient 3D Generation Frameworks @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs