Principal/Senior Principal Machine Learning Engineer, Generative AI
Autodesk
Principal/Senior Principal Machine Learning Engineer, Generative AI
Job Description
Principal/Senior Principal Machine Learning Engineer, Generative AI
📋 Job Overview
The Principal/Senior Principal Machine Learning Engineer in Generative AI at Autodesk will lead the development of advanced generative AI models to enhance design and manufacturing workflows. This role involves collaborating with cross-functional teams to innovate AI-driven solutions for creative industries. The position is available in 9 locations worldwide, focusing on pushing the boundaries of AI in product development.
📍 Location: 9 Locations, 9 Locations
📅 Posted: Posted 16 Days Ago
🎯 Key Responsibilities
- Design and implement state-of-the-art generative AI models for 3D design generation
- Collaborate with product teams to integrate AI into Autodesk's software suite
- Lead research initiatives in multimodal generative AI
- Mentor junior engineers and contribute to AI strategy
- Evaluate and optimize model performance for real-world applications
✅ Required Qualifications
- Master's or PhD in Computer Science, Machine Learning, AI, or related field
- 8+ years of experience in machine learning engineering, with focus on generative models
- Proven track record of deploying AI models in production environments
- Strong understanding of deep learning frameworks and generative AI techniques
⭐ Preferred Qualifications
- Experience with Autodesk software or CAD tools
- Publications in top AI conferences (e.g., NeurIPS, ICML)
- Background in design, architecture, or engineering domains
- Familiarity with cloud platforms like AWS, Azure, or GCP for AI scaling
🛠️ Required Skills
- Proficiency in Python, PyTorch, or TensorFlow
- Expertise in generative models (GANs, VAEs, Diffusion Models)
- Experience with large language models and transformers
- Strong software engineering skills (version control, CI/CD)
- Knowledge of data pipelines, ETL, and vector databases
- Analytical problem-solving and communication skills
🎁 Benefits & Perks
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development stipend and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan and wellness programs
Locations
- 9 Locations, 9 Locations
Salary
Skills Required
- Proficiency in Python, PyTorch, or TensorFlowintermediate
- Expertise in generative models (GANs, VAEs, Diffusion Models)intermediate
- Experience with large language models and transformersintermediate
- Strong software engineering skills (version control, CI/CD)intermediate
- Knowledge of data pipelines, ETL, and vector databasesintermediate
- Analytical problem-solving and communication skillsintermediate
Required Qualifications
- Master's or PhD in Computer Science, Machine Learning, AI, or related field (experience)
- 8+ years of experience in machine learning engineering, with focus on generative models (experience)
- Proven track record of deploying AI models in production environments (experience)
- Strong understanding of deep learning frameworks and generative AI techniques (experience)
Preferred Qualifications
- Experience with Autodesk software or CAD tools (experience)
- Publications in top AI conferences (e.g., NeurIPS, ICML) (experience)
- Background in design, architecture, or engineering domains (experience)
- Familiarity with cloud platforms like AWS, Azure, or GCP for AI scaling (experience)
Responsibilities
- Design and implement state-of-the-art generative AI models for 3D design generation
- Collaborate with product teams to integrate AI into Autodesk's software suite
- Lead research initiatives in multimodal generative AI
- Mentor junior engineers and contribute to AI strategy
- Evaluate and optimize model performance for real-world applications
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development stipend 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 Principal/Senior Principal Machine Learning Engineer, Generative AI @ Autodesk.
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Principal/Senior Principal Machine Learning Engineer, Generative AI
Autodesk
Principal/Senior Principal Machine Learning Engineer, Generative AI
Job Description
Principal/Senior Principal Machine Learning Engineer, Generative AI
📋 Job Overview
The Principal/Senior Principal Machine Learning Engineer in Generative AI at Autodesk will lead the development of advanced generative AI models to enhance design and manufacturing workflows. This role involves collaborating with cross-functional teams to innovate AI-driven solutions for creative industries. The position is available in 9 locations worldwide, focusing on pushing the boundaries of AI in product development.
📍 Location: 9 Locations, 9 Locations
📅 Posted: Posted 16 Days Ago
🎯 Key Responsibilities
- Design and implement state-of-the-art generative AI models for 3D design generation
- Collaborate with product teams to integrate AI into Autodesk's software suite
- Lead research initiatives in multimodal generative AI
- Mentor junior engineers and contribute to AI strategy
- Evaluate and optimize model performance for real-world applications
✅ Required Qualifications
- Master's or PhD in Computer Science, Machine Learning, AI, or related field
- 8+ years of experience in machine learning engineering, with focus on generative models
- Proven track record of deploying AI models in production environments
- Strong understanding of deep learning frameworks and generative AI techniques
⭐ Preferred Qualifications
- Experience with Autodesk software or CAD tools
- Publications in top AI conferences (e.g., NeurIPS, ICML)
- Background in design, architecture, or engineering domains
- Familiarity with cloud platforms like AWS, Azure, or GCP for AI scaling
🛠️ Required Skills
- Proficiency in Python, PyTorch, or TensorFlow
- Expertise in generative models (GANs, VAEs, Diffusion Models)
- Experience with large language models and transformers
- Strong software engineering skills (version control, CI/CD)
- Knowledge of data pipelines, ETL, and vector databases
- Analytical problem-solving and communication skills
🎁 Benefits & Perks
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development stipend and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan and wellness programs
Locations
- 9 Locations, 9 Locations
Salary
Skills Required
- Proficiency in Python, PyTorch, or TensorFlowintermediate
- Expertise in generative models (GANs, VAEs, Diffusion Models)intermediate
- Experience with large language models and transformersintermediate
- Strong software engineering skills (version control, CI/CD)intermediate
- Knowledge of data pipelines, ETL, and vector databasesintermediate
- Analytical problem-solving and communication skillsintermediate
Required Qualifications
- Master's or PhD in Computer Science, Machine Learning, AI, or related field (experience)
- 8+ years of experience in machine learning engineering, with focus on generative models (experience)
- Proven track record of deploying AI models in production environments (experience)
- Strong understanding of deep learning frameworks and generative AI techniques (experience)
Preferred Qualifications
- Experience with Autodesk software or CAD tools (experience)
- Publications in top AI conferences (e.g., NeurIPS, ICML) (experience)
- Background in design, architecture, or engineering domains (experience)
- Familiarity with cloud platforms like AWS, Azure, or GCP for AI scaling (experience)
Responsibilities
- Design and implement state-of-the-art generative AI models for 3D design generation
- Collaborate with product teams to integrate AI into Autodesk's software suite
- Lead research initiatives in multimodal generative AI
- Mentor junior engineers and contribute to AI strategy
- Evaluate and optimize model performance for real-world applications
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development stipend 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 Principal/Senior Principal Machine Learning Engineer, Generative AI @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs