Machine Learning Engineer

• Report to an ML Development Manager for the Generative AI team
• Join the AEC Solutions team to build cutting-edge foundation models and generative AI tools for the AEC industry
• Collaborate across organizations with AI Researchers, ML Engineers, Software Architects, and Experience Designers to generate and interpret design data
• Set the strategic technical vision for Autodesk’s generative AI capabilities in the AEC domain
• Lead the design and development of intelligent data processing and characterization systems that transform unstructured inputs into structured, ML-ready formats
• Architect and implement scalable, production-grade data and ML pipelines that support training and fine-tuning of models
• Drive strategic technical planning—identify bottlenecks, propose architectural improvements, and align data/ML infrastructure with product goals
• Collaborate closely with data engineers, applied scientists, and product teams to integrate large-scale data into model development workflows
• Perform hands-on development of data preprocessing, feature extraction, and transformation modules optimized for downstream ML model performance
• Define and establish best practices for model experimentation, evaluation, and deployment in high-throughput environments
• Investigate and apply advanced techniques including self-supervised learning, active learning, and weak supervision to maximize the value of unlabeled data
• Own and evolve the model/data feedback loop by monitoring model quality, diagnosing failure modes, and guiding iterative improvements
• Mentor and support a team of ML engineers, fostering a culture of engineering excellence and technical ownership
• Stay current with advances in generative AI, foundation models, and data-centric AI—translating research into practical, scalable solutions

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