AI Research Scientist Multimodal VLM and MLLM
Autodesk
AI Research Scientist Multimodal VLM and MLLM
Job Description
AI Research Scientist Multimodal VLM and MLLM
📋 Job Overview
The AI Research Scientist role at Autodesk focuses on advancing multimodal vision-language models (VLM) and multi-modal large language models (MLLM) to enhance design and engineering workflows. The position involves conducting cutting-edge research, developing innovative AI solutions, and collaborating with cross-functional teams to integrate these technologies into Autodesk's products. Based in the United Kingdom, this role offers an opportunity to push the boundaries of AI in the AEC industry.
📍 Location: London, United Kingdom
📅 Posted: Posted 21 Days Ago
🎯 Key Responsibilities
- Research and develop state-of-the-art VLM and MLLM architectures
- Design experiments to evaluate model performance on multimodal tasks
- Collaborate with engineering teams to integrate AI models into products
- Publish research findings and contribute to the AI community
- Mentor junior researchers and interns
✅ Required Qualifications
- PhD in Computer Science, Machine Learning, AI, or a related field
- 3+ years of experience in AI research, with a focus on multimodal models
- Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, CVPR)
- Experience with large-scale model training and deployment
⭐ Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain
- Knowledge of generative AI and diffusion models
- Familiarity with Autodesk software and tools
- Industry experience in applying AI to design workflows
🛠️ Required Skills
- Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow)
- Expertise in transformer models, vision-language pretraining, and multimodal fusion
- Strong skills in machine learning algorithms, optimization, and data processing
- Experience with large datasets, GPU computing, and distributed training
- Excellent problem-solving and communication skills
- Ability to work collaboratively in a research environment
🎁 Benefits & Perks
- Competitive salary and performance-based incentives
- Comprehensive health and wellness benefits
- Flexible working arrangements and remote options
- Professional development opportunities and tuition reimbursement
- Generous vacation policy and parental leave
- Employee stock purchase plan and retirement savings
Locations
- London, United Kingdom
Salary
Estimated Salary Rangemedium confidence
75,000 - 120,000 GBP / 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 deep learning frameworks (PyTorch, TensorFlow)intermediate
- Expertise in transformer models, vision-language pretraining, and multimodal fusionintermediate
- Strong skills in machine learning algorithms, optimization, and data processingintermediate
- Experience with large datasets, GPU computing, and distributed trainingintermediate
- Excellent problem-solving and communication skillsintermediate
- Ability to work collaboratively in a research environmentintermediate
Required Qualifications
- PhD in Computer Science, Machine Learning, AI, or a related field (experience)
- 3+ years of experience in AI research, with a focus on multimodal models (experience)
- Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, CVPR) (experience)
- Experience with large-scale model training and deployment (experience)
Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain (experience)
- Knowledge of generative AI and diffusion models (experience)
- Familiarity with Autodesk software and tools (experience)
- Industry experience in applying AI to design workflows (experience)
Responsibilities
- Research and develop state-of-the-art VLM and MLLM architectures
- Design experiments to evaluate model performance on multimodal tasks
- Collaborate with engineering teams to integrate AI models into products
- Publish research findings and contribute to the AI community
- Mentor junior researchers and interns
Benefits
- general: Competitive salary and performance-based incentives
- general: Comprehensive health and wellness benefits
- general: Flexible working arrangements and remote options
- general: Professional development opportunities and tuition reimbursement
- general: Generous vacation policy and parental leave
- general: Employee stock purchase plan and retirement savings
Tags & Categories
Answer 10 quick questions to check your fit for AI Research Scientist Multimodal VLM and MLLM @ Autodesk.
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~2 Minutes
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AI Research Scientist Multimodal VLM and MLLM
Autodesk
AI Research Scientist Multimodal VLM and MLLM
Job Description
AI Research Scientist Multimodal VLM and MLLM
📋 Job Overview
The AI Research Scientist role at Autodesk focuses on advancing multimodal vision-language models (VLM) and multi-modal large language models (MLLM) to enhance design and engineering workflows. The position involves conducting cutting-edge research, developing innovative AI solutions, and collaborating with cross-functional teams to integrate these technologies into Autodesk's products. Based in the United Kingdom, this role offers an opportunity to push the boundaries of AI in the AEC industry.
📍 Location: London, United Kingdom
📅 Posted: Posted 21 Days Ago
🎯 Key Responsibilities
- Research and develop state-of-the-art VLM and MLLM architectures
- Design experiments to evaluate model performance on multimodal tasks
- Collaborate with engineering teams to integrate AI models into products
- Publish research findings and contribute to the AI community
- Mentor junior researchers and interns
✅ Required Qualifications
- PhD in Computer Science, Machine Learning, AI, or a related field
- 3+ years of experience in AI research, with a focus on multimodal models
- Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, CVPR)
- Experience with large-scale model training and deployment
⭐ Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain
- Knowledge of generative AI and diffusion models
- Familiarity with Autodesk software and tools
- Industry experience in applying AI to design workflows
🛠️ Required Skills
- Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow)
- Expertise in transformer models, vision-language pretraining, and multimodal fusion
- Strong skills in machine learning algorithms, optimization, and data processing
- Experience with large datasets, GPU computing, and distributed training
- Excellent problem-solving and communication skills
- Ability to work collaboratively in a research environment
🎁 Benefits & Perks
- Competitive salary and performance-based incentives
- Comprehensive health and wellness benefits
- Flexible working arrangements and remote options
- Professional development opportunities and tuition reimbursement
- Generous vacation policy and parental leave
- Employee stock purchase plan and retirement savings
Locations
- London, United Kingdom
Salary
Estimated Salary Rangemedium confidence
75,000 - 120,000 GBP / 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 deep learning frameworks (PyTorch, TensorFlow)intermediate
- Expertise in transformer models, vision-language pretraining, and multimodal fusionintermediate
- Strong skills in machine learning algorithms, optimization, and data processingintermediate
- Experience with large datasets, GPU computing, and distributed trainingintermediate
- Excellent problem-solving and communication skillsintermediate
- Ability to work collaboratively in a research environmentintermediate
Required Qualifications
- PhD in Computer Science, Machine Learning, AI, or a related field (experience)
- 3+ years of experience in AI research, with a focus on multimodal models (experience)
- Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, CVPR) (experience)
- Experience with large-scale model training and deployment (experience)
Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain (experience)
- Knowledge of generative AI and diffusion models (experience)
- Familiarity with Autodesk software and tools (experience)
- Industry experience in applying AI to design workflows (experience)
Responsibilities
- Research and develop state-of-the-art VLM and MLLM architectures
- Design experiments to evaluate model performance on multimodal tasks
- Collaborate with engineering teams to integrate AI models into products
- Publish research findings and contribute to the AI community
- Mentor junior researchers and interns
Benefits
- general: Competitive salary and performance-based incentives
- general: Comprehensive health and wellness benefits
- general: Flexible working arrangements and remote options
- general: Professional development opportunities and tuition reimbursement
- general: Generous vacation policy and parental leave
- general: Employee stock purchase plan and retirement savings
Tags & Categories
Answer 10 quick questions to check your fit for AI Research Scientist Multimodal VLM and MLLM @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs