Autodesk is seeking a Senior Machine Learning Engineer to design, develop, and deploy ML solutions for next-generation AI-powered capabilities in Autodesk products. The role focuses on 3D geometry, multimodal AI, and generative AI, covering the full ML lifecycle from research and data pipelines to MLOps and production deployment. You will collaborate with researchers and engineers to transform experimental ideas into scalable, production-ready product capabilities.
Responsibilities
Design, develop, and optimize machine learning models for AI-powered product features involving 3D geometry, multimodal AI, and generative AI
Build and maintain scalable data pipelines and ML workflows for data preparation, training, evaluation, and inference
Design and implement evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality
Collaborate with researchers and engineers to transform experimental ideas into production-ready capabilities
Build and maintain MLOps workflows supporting model versioning, deployment, monitoring, and continuous improvement
Analyze model performance, identify failure modes, and implement improvements to enhance accuracy, reliability, and efficiency
Requirements
Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or equivalent industry experience
5+ years of professional experience developing machine learning solutions
Heap is a product analytics platform that automatically captures user interactions across websites and mobile apps to provide digital insights. The company is now part of Contentsquare and specializes in helping digital teams understand user behavior through auto-captured data, retroactive analysis, and AI-powered insights.