Machine Learning Engineer: 2D & 3D Geometric Data, Generative AI
Description For Machine Learning Engineer: 2D & 3D Geometric Data, Generative AI
Autodesk is seeking a Machine Learning Engineer to join their AEC Solutions team, focusing on building foundation models and generative AI tools for the Architecture, Engineering, and Construction industry. This role combines cutting-edge AI technology with practical applications in 3D modeling and design. The position offers the opportunity to work on flagship products like AutoCAD, Revit, and Construction Cloud, as well as their new Industry Cloud, Forma.
The ideal candidate will work at the intersection of machine learning and geometric data, developing scalable solutions that enhance design and engineering workflows. You'll be responsible for building and optimizing machine learning models, working with large-scale datasets, and implementing production-ready solutions. The role requires expertise in deep learning, computational geometry, and modern ML frameworks.
Autodesk offers a flexible work environment with both hybrid and remote options in various locations across the United States. The company is committed to building a diverse workplace and an inclusive culture, providing opportunities to work on transformative technology that impacts how things are designed and made across multiple industries.
This position combines technical depth in machine learning with practical applications in the AEC industry, making it an excellent opportunity for someone passionate about applying AI to real-world design and engineering challenges. The role offers exposure to cutting-edge technology while working with a team of experienced professionals in a company that's leading the digital transformation of the design and construction industry.
Responsibilities For Machine Learning Engineer: 2D & 3D Geometric Data, Generative AI
- Collaborate with engineers to develop scalable data pipelines and architectures
- Work with large-scale datasets including text and geometric data
- Write production-quality code for model training, testing, and deployment
- Design and execute model experiments, evaluate performance, and iterate based on findings
- Monitor, troubleshoot, and optimize machine learning models
- Perform requirements analysis and document solutions
- Communicate findings through quantitative data analysis
- Implement agile approaches
Requirements For Machine Learning Engineer: 2D & 3D Geometric Data, Generative AI
- Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, Statistics, or related field
- 3-5+ years of hands-on experience in machine learning engineering
- Expertise in training deep neural networks
- Experience with PyTorch, Lightning, and Ray
- Experience with Large Language Models (LLMs)
- Strong background in computational geometry
- Experience in 2D and 3D geometric data representations
- Proficiency with version control and model deployment
- Familiarity with AWS and Azure cloud services
- Strong programming skills in Python
- Experience with distributed computing platforms
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