Machine Learning Engineer

• Provide technical leadership at the intersection of applied research and large-scale engineering within Autodesk’s AEC organization
• Collaborate with Research Scientists to translate novel model architectures and experimental ideas into robust, scalable implementations
• Develop, optimize, and deploy new ML models and AI techniques at scale
• Own the end-to-end training workflow: distributed training, debugging, and performance optimization
• Identify and apply best practices in large model training (e.g., parallelization, mixed precision, gradient checkpointing)
• Drive engineering efforts within a global team of scientists and engineers, ensuring reproducibility and efficiency of experiments
• Drive throughput by identifying bottlenecks in training pipelines and implementing improvements
• Partner with infrastructure and platform teams to leverage large-scale compute clusters and cloud services
• Take ownership of advancing foundation model research in the AEC domain, including experiment design, distributed training, optimization, and large-scale deployment
• Report to the Machine Learning Manager within the AEC Solutions organization

Principal Machine Learning Engineer – Foundation Models, AEC

Director, MLOps

Senior ML Engineer – Learned Localization

Staff ML Engineer – E2E

Staff ML Engineer – Learned Behaviors

Staff ML Engineer – Road & Lane Detection