Physics Informed AI/ML Researcher
Autodesk
Physics Informed AI/ML Researcher
Job Description
Physics Informed AI/ML Researcher
📋 Job Overview
The Physics Informed AI/ML Researcher at Autodesk will develop advanced machine learning models that incorporate physical laws to enhance simulation and design processes in engineering applications. Based in Canada, the role focuses on integrating AI with physics-based modeling to solve complex problems in product development. This position offers an opportunity to innovate at the intersection of AI and engineering within a leading software company.
📍 Location: Toronto, ON, Canada
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Research and develop physics-informed ML models for engineering simulations
- Collaborate with engineering teams to integrate AI into product workflows
- Prototype and evaluate new algorithms for accuracy and efficiency
- Publish findings and contribute to Autodesk's innovation roadmap
✅ Required Qualifications
- PhD in Computer Science, Applied Mathematics, Physics, Engineering, or related field
- 3+ years of experience in AI/ML research and development
- Strong background in physics-informed neural networks (PINNs) or scientific machine learning
- Experience with simulation software and numerical methods
⭐ Preferred Qualifications
- Publications in top AI/ML or computational physics conferences/journals
- Experience with Autodesk products or CAD/BIM software
- Knowledge of generative AI for design optimization
- Familiarity with high-performance computing and GPU acceleration
🛠️ Required Skills
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)
- Expertise in numerical analysis and differential equations
- Strong programming skills in C++ or Julia for performance-critical code
- Experience with data visualization tools (Matplotlib, ParaView)
- Analytical thinking and problem-solving abilities
- Effective communication for cross-functional collaboration
🎁 Benefits & Perks
- Comprehensive health and dental coverage
- Retirement savings plan with company matching
- Flexible work arrangements and remote options
- Professional development budget and learning opportunities
- Paid time off and wellness programs
Locations
- Toronto, ON, Canada
Salary
Estimated Salary Rangemedium confidence
120,000 - 180,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)intermediate
- Expertise in numerical analysis and differential equationsintermediate
- Strong programming skills in C++ or Julia for performance-critical codeintermediate
- Experience with data visualization tools (Matplotlib, ParaView)intermediate
- Analytical thinking and problem-solving abilitiesintermediate
- Effective communication for cross-functional collaborationintermediate
Required Qualifications
- PhD in Computer Science, Applied Mathematics, Physics, Engineering, or related field (experience)
- 3+ years of experience in AI/ML research and development (experience)
- Strong background in physics-informed neural networks (PINNs) or scientific machine learning (experience)
- Experience with simulation software and numerical methods (experience)
Preferred Qualifications
- Publications in top AI/ML or computational physics conferences/journals (experience)
- Experience with Autodesk products or CAD/BIM software (experience)
- Knowledge of generative AI for design optimization (experience)
- Familiarity with high-performance computing and GPU acceleration (experience)
Responsibilities
- Research and develop physics-informed ML models for engineering simulations
- Collaborate with engineering teams to integrate AI into product workflows
- Prototype and evaluate new algorithms for accuracy and efficiency
- Publish findings and contribute to Autodesk's innovation roadmap
Benefits
- general: Comprehensive health and dental coverage
- general: Retirement savings plan with company matching
- general: Flexible work arrangements and remote options
- general: Professional development budget and learning opportunities
- general: Paid time off and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Physics Informed AI/ML Researcher @ Autodesk.
10 Questions
~2 Minutes
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Physics Informed AI/ML Researcher
Autodesk
Physics Informed AI/ML Researcher
Job Description
Physics Informed AI/ML Researcher
📋 Job Overview
The Physics Informed AI/ML Researcher at Autodesk will develop advanced machine learning models that incorporate physical laws to enhance simulation and design processes in engineering applications. Based in Canada, the role focuses on integrating AI with physics-based modeling to solve complex problems in product development. This position offers an opportunity to innovate at the intersection of AI and engineering within a leading software company.
📍 Location: Toronto, ON, Canada
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Research and develop physics-informed ML models for engineering simulations
- Collaborate with engineering teams to integrate AI into product workflows
- Prototype and evaluate new algorithms for accuracy and efficiency
- Publish findings and contribute to Autodesk's innovation roadmap
✅ Required Qualifications
- PhD in Computer Science, Applied Mathematics, Physics, Engineering, or related field
- 3+ years of experience in AI/ML research and development
- Strong background in physics-informed neural networks (PINNs) or scientific machine learning
- Experience with simulation software and numerical methods
⭐ Preferred Qualifications
- Publications in top AI/ML or computational physics conferences/journals
- Experience with Autodesk products or CAD/BIM software
- Knowledge of generative AI for design optimization
- Familiarity with high-performance computing and GPU acceleration
🛠️ Required Skills
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)
- Expertise in numerical analysis and differential equations
- Strong programming skills in C++ or Julia for performance-critical code
- Experience with data visualization tools (Matplotlib, ParaView)
- Analytical thinking and problem-solving abilities
- Effective communication for cross-functional collaboration
🎁 Benefits & Perks
- Comprehensive health and dental coverage
- Retirement savings plan with company matching
- Flexible work arrangements and remote options
- Professional development budget and learning opportunities
- Paid time off and wellness programs
Locations
- Toronto, ON, Canada
Salary
Estimated Salary Rangemedium confidence
120,000 - 180,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)intermediate
- Expertise in numerical analysis and differential equationsintermediate
- Strong programming skills in C++ or Julia for performance-critical codeintermediate
- Experience with data visualization tools (Matplotlib, ParaView)intermediate
- Analytical thinking and problem-solving abilitiesintermediate
- Effective communication for cross-functional collaborationintermediate
Required Qualifications
- PhD in Computer Science, Applied Mathematics, Physics, Engineering, or related field (experience)
- 3+ years of experience in AI/ML research and development (experience)
- Strong background in physics-informed neural networks (PINNs) or scientific machine learning (experience)
- Experience with simulation software and numerical methods (experience)
Preferred Qualifications
- Publications in top AI/ML or computational physics conferences/journals (experience)
- Experience with Autodesk products or CAD/BIM software (experience)
- Knowledge of generative AI for design optimization (experience)
- Familiarity with high-performance computing and GPU acceleration (experience)
Responsibilities
- Research and develop physics-informed ML models for engineering simulations
- Collaborate with engineering teams to integrate AI into product workflows
- Prototype and evaluate new algorithms for accuracy and efficiency
- Publish findings and contribute to Autodesk's innovation roadmap
Benefits
- general: Comprehensive health and dental coverage
- general: Retirement savings plan with company matching
- general: Flexible work arrangements and remote options
- general: Professional development budget and learning opportunities
- general: Paid time off and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Physics Informed AI/ML Researcher @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs