Machine Learning Developer, Autodesk

• A MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field
• 3-5+ 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
• Is passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
• Is comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
• Can easily collaborate with others and are comfortable with minimal direction
• Is constantly striving to learn new technologies and methodologies
• Seeks new ways to solve hard problems
• Is unafraid to put their ideas out there and fail fast

Desirable

• As a Machine Learning Developer 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
• You will report to the Machine Learning 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