AI Research Scientist/Engineer Multimodal VLM and MLLM
Autodesk
AI Research Scientist/Engineer Multimodal VLM and MLLM
Job Description
AI Research Scientist/Engineer Multimodal VLM and MLLM
📋 Job Overview
Autodesk is seeking an AI Research Scientist/Engineer to advance multimodal vision-language models (VLM) and multi-modal large language models (MLLM) for innovative applications in design and engineering. The role involves conducting cutting-edge research, developing AI systems that integrate vision and language understanding, and collaborating with cross-functional teams to deploy solutions that enhance Autodesk's product ecosystem. This position is available in five locations, offering opportunities to push the boundaries of AI in real-world creative workflows.
📍 Location: 5 Locations, 5 Locations
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Research and develop advanced VLM and MLLM architectures
- Design experiments to evaluate model performance on multimodal tasks
- Integrate AI models into Autodesk products for design automation
- Collaborate with product teams to identify AI opportunities
- Publish findings and contribute to open-source AI initiatives
- Mentor junior engineers and stay updated on AI advancements
✅ Required Qualifications
- PhD in Computer Science, Electrical Engineering, or related field with focus on AI/ML
- 3+ years of experience in AI research or engineering
- Strong background in deep learning, computer vision, and natural language processing
- Experience with large-scale model training and deployment
- Proficiency in Python and ML frameworks
⭐ Preferred Qualifications
- Publications in top AI conferences (e.g., NeurIPS, CVPR, ACL)
- Experience with multimodal AI systems and generative models
- Knowledge of 3D modeling, CAD, or design software
- Familiarity with cloud computing platforms (e.g., AWS, Azure)
- Strong communication and collaboration skills
🛠️ Required Skills
- Deep learning frameworks (PyTorch, TensorFlow)
- Computer vision techniques (CNNs, transformers)
- Natural language processing (BERT, GPT variants)
- Multimodal learning and fusion methods
- Python programming and data processing (NumPy, Pandas)
- Machine learning optimization and scaling
- Problem-solving and research methodology
- Team collaboration and technical communication
🎁 Benefits & Perks
- Competitive salary and performance bonuses
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan and wellness programs
Locations
- 5 Locations, 5 Locations
Salary
Skills Required
- Deep learning frameworks (PyTorch, TensorFlow)intermediate
- Computer vision techniques (CNNs, transformers)intermediate
- Natural language processing (BERT, GPT variants)intermediate
- Multimodal learning and fusion methodsintermediate
- Python programming and data processing (NumPy, Pandas)intermediate
- Machine learning optimization and scalingintermediate
- Problem-solving and research methodologyintermediate
- Team collaboration and technical communicationintermediate
Required Qualifications
- PhD in Computer Science, Electrical Engineering, or related field with focus on AI/ML (experience)
- 3+ years of experience in AI research or engineering (experience)
- Strong background in deep learning, computer vision, and natural language processing (experience)
- Experience with large-scale model training and deployment (experience)
- Proficiency in Python and ML frameworks (experience)
Preferred Qualifications
- Publications in top AI conferences (e.g., NeurIPS, CVPR, ACL) (experience)
- Experience with multimodal AI systems and generative models (experience)
- Knowledge of 3D modeling, CAD, or design software (experience)
- Familiarity with cloud computing platforms (e.g., AWS, Azure) (experience)
- Strong communication and collaboration skills (experience)
Responsibilities
- Research and develop advanced VLM and MLLM architectures
- Design experiments to evaluate model performance on multimodal tasks
- Integrate AI models into Autodesk products for design automation
- Collaborate with product teams to identify AI opportunities
- Publish findings and contribute to open-source AI initiatives
- Mentor junior engineers and stay updated on AI advancements
Benefits
- general: Competitive salary and performance bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for AI Research Scientist/Engineer Multimodal VLM and MLLM @ Autodesk.
10 Questions
~2 Minutes
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AI Research Scientist/Engineer Multimodal VLM and MLLM
Autodesk
AI Research Scientist/Engineer Multimodal VLM and MLLM
Job Description
AI Research Scientist/Engineer Multimodal VLM and MLLM
📋 Job Overview
Autodesk is seeking an AI Research Scientist/Engineer to advance multimodal vision-language models (VLM) and multi-modal large language models (MLLM) for innovative applications in design and engineering. The role involves conducting cutting-edge research, developing AI systems that integrate vision and language understanding, and collaborating with cross-functional teams to deploy solutions that enhance Autodesk's product ecosystem. This position is available in five locations, offering opportunities to push the boundaries of AI in real-world creative workflows.
📍 Location: 5 Locations, 5 Locations
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Research and develop advanced VLM and MLLM architectures
- Design experiments to evaluate model performance on multimodal tasks
- Integrate AI models into Autodesk products for design automation
- Collaborate with product teams to identify AI opportunities
- Publish findings and contribute to open-source AI initiatives
- Mentor junior engineers and stay updated on AI advancements
✅ Required Qualifications
- PhD in Computer Science, Electrical Engineering, or related field with focus on AI/ML
- 3+ years of experience in AI research or engineering
- Strong background in deep learning, computer vision, and natural language processing
- Experience with large-scale model training and deployment
- Proficiency in Python and ML frameworks
⭐ Preferred Qualifications
- Publications in top AI conferences (e.g., NeurIPS, CVPR, ACL)
- Experience with multimodal AI systems and generative models
- Knowledge of 3D modeling, CAD, or design software
- Familiarity with cloud computing platforms (e.g., AWS, Azure)
- Strong communication and collaboration skills
🛠️ Required Skills
- Deep learning frameworks (PyTorch, TensorFlow)
- Computer vision techniques (CNNs, transformers)
- Natural language processing (BERT, GPT variants)
- Multimodal learning and fusion methods
- Python programming and data processing (NumPy, Pandas)
- Machine learning optimization and scaling
- Problem-solving and research methodology
- Team collaboration and technical communication
🎁 Benefits & Perks
- Competitive salary and performance bonuses
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan and wellness programs
Locations
- 5 Locations, 5 Locations
Salary
Skills Required
- Deep learning frameworks (PyTorch, TensorFlow)intermediate
- Computer vision techniques (CNNs, transformers)intermediate
- Natural language processing (BERT, GPT variants)intermediate
- Multimodal learning and fusion methodsintermediate
- Python programming and data processing (NumPy, Pandas)intermediate
- Machine learning optimization and scalingintermediate
- Problem-solving and research methodologyintermediate
- Team collaboration and technical communicationintermediate
Required Qualifications
- PhD in Computer Science, Electrical Engineering, or related field with focus on AI/ML (experience)
- 3+ years of experience in AI research or engineering (experience)
- Strong background in deep learning, computer vision, and natural language processing (experience)
- Experience with large-scale model training and deployment (experience)
- Proficiency in Python and ML frameworks (experience)
Preferred Qualifications
- Publications in top AI conferences (e.g., NeurIPS, CVPR, ACL) (experience)
- Experience with multimodal AI systems and generative models (experience)
- Knowledge of 3D modeling, CAD, or design software (experience)
- Familiarity with cloud computing platforms (e.g., AWS, Azure) (experience)
- Strong communication and collaboration skills (experience)
Responsibilities
- Research and develop advanced VLM and MLLM architectures
- Design experiments to evaluate model performance on multimodal tasks
- Integrate AI models into Autodesk products for design automation
- Collaborate with product teams to identify AI opportunities
- Publish findings and contribute to open-source AI initiatives
- Mentor junior engineers and stay updated on AI advancements
Benefits
- general: Competitive salary and performance bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for AI Research Scientist/Engineer Multimodal VLM and MLLM @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs