Job Requisition ID #

24WD79731

Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products-AutoCAD, Revit, and Construction Cloud-and Forma, our new Industry Cloud.
As a Machine Learning Engineer on the AEC Solutions team, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry. You will work collaboratively to create and interpret design data that can enhance design and engineering workflows.
Report: You will report to the Senior AI Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.

• Collaborate with other engineers to develop data pipelines and architectures, and support tasks related to data collection, storage, processing, and analysis
• Write code for model training, testing, and deployment
• Monitor and troubleshoot machine learning models to ensure accuracy and performance
• Perform requirements analysis, working with team members of different levels and documenting solutions
• Work with large-scale data sets and manage data flow between systems
• Organize and process large batches of text and geometric data
• Communicate your findings through quantitative data analysis and qualitative visuals and insights

• A MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field
• 3+ years of experience in machine learning engineering or related field
• Domain expertise in training deep neural nets, such as CNN and transformers and proficiency in least one deep learning framework, for example PyTorch, TensorFlow
• Strong fundamentals in 3D geometry and geometric computer vision
• Exposure to Cloud Computing in AWS and using the SageMaker Studio platform
• Good understanding of fundamental CS algorithms and their scaling behaviors
• Good coding skills covering procedural and data-analytics oriented languages (such as Python)
• Able to translate theoretical concepts into practical solutions and prototype implementations.

• Background in Architecture, Engineering, or Construction
• Practical experience in data preparation, hyper-parameter selection; acceleration techniques; and optimization methods
• Exposure to cloud computing in AWS, Azure or Google Cloud
• Experience in parallel distribution of algorithms using platforms such as Spark or Hadoop.
• Practical experience developing high scale machine learning algorithms

• You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
• You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
• You easily collaborate with others and are comfortable with minimal direction
• You are constantly striving to learn new technologies and methodologies.
• You seek new ways to solve hard problems.
• You are unafraid to put your ideas out there and fail fast