Job Requisition ID #25WD89730Position OverviewAutodesk 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 Developer/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 Machine Learning Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.Location: We support hybrid work or remote work. East Coast United States.ResponsibilitiesArchitect and guide the implementation of scalable data pipelines and architecturesWork with large-scale multimodal datasets (text, 2D/3D geometry, and structured data), developing advanced preprocessing, augmentation, and content understanding techniquesArchitect, develop, and optimize production-level ML solutions, focusing on scalability and reliability, while contributing to engineering best practicesEstablish best practices for model experimentation, evaluation, and optimizationContribute to technical execution by writing well-structured, high-performance code for production ML pipelinesPerform in-depth requirements analysis, collaborating with team members at different levels and documenting solutionsSet the technical direction by identifying key challenges and defining innovative solutionsCommunicate technical findings effectively, influencing stakeholders through quantitative analysis, qualitative insights, and clear visual presentationsMentor and guide junior engineers, fostering a culture of technical excellence and knowledge-sharing within the teamMinimum QualificationsAn MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field10+ years of experience in machine learning engineering or a related field, with a proven track record of leadership and hands-on implementationExpertise in deep learning architectures (e.g., Transformers, CNNs, GANs) and modern ML frameworks (e.g., PyTorch, Lightning, Ray)Experience with LLMs and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, in production settingsDeep understanding of data modeling, system architectures, and processing techniques, including 2D/3D geometric data representationsExperience with AWS cloud services and SageMaker Studio for scalable data processing and model developmentStrong foundation in computer science fundamentals, distributed computing, and algorithmic efficiencyProven ability to translate theoretical concepts into practical solutions and prototype implementationsAbility to work autonomously while effectively collaborating across teams, bridging the gap between research and practical implementationExcellent technical writing and communication skills for documentation, presentations, and influencing cross-functional teamsPreferred QualificationsBackground in Architecture, Engineering, or ConstructionExtensive experience in data preparation, hyper-parameter selection; acceleration techniques; and optimization methodsProficiency in parallel and distributed computing techniques, with hands-on experience using platforms like Spark, Ray, or similar distributed systems for large-scale data processing and model trainingProven record in developing and deploying high-scale machine learning algorithms in production environmentsIdeal CandidateYou are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniquesYou are comfortable driving progress in newly forming, ambiguous areas where learning and adaptability are keyYou lead by doing, combining technical leadership with hands-on implementationYou easily collaborate with others and are comfortable with minimal directionYou constantly strive to learn new technologies and methodologiesYou seek innovative solutions to difficult technical problems and iterate quickly on ideasYou are unafraid to experiment, share your ideas openly, and fail fastAt Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.
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