Machine Learning Engineering Manager on the Model Delivery team within Autodesk Research, leading production ML engineering across deployment, monitoring, evaluation, reliability, and operational excellence for ML-powered features. This role involves leading and growing a team of ML engineers, improving models based on production issues and feedback, leading production release processes, building observability and on-call practices, developing evaluation frameworks, and leading reliability/performance/cost improvements for inference and serving. The role also partners with researchers, product, and platform teams to define quality bars and production readiness, including Trusted AI requirements, and establishes production standards for ML features.

Autodesk is seeking a Principal ML Engineer to lead the design and evolution of large-scale machine learning platforms, focusing on ML infrastructure, data systems, model lifecycle tooling, and production architecture. This role involves owning high-impact technical initiatives, defining technical direction for ML systems, and driving execution across cross-functional teams. The ideal candidate has strong system architecture, distributed computing, and end-to-end platform thinking skills.

Autodesk is seeking a Senior ML Engineer to design and scale ML systems and infrastructure, focusing on data pipelines, distributed training, evaluation frameworks, and production ML workflows for foundation models and ML-powered features. The role emphasizes scalable systems and production-grade ML infrastructure, operating independently across the stack.

Machine Learning Engineer focused on building and operating ML systems at scale, including pipelines for data preparation, model training, evaluation, deployment, and monitoring. The role involves developing reliable software and infrastructure for scalable machine learning workflows, contributing to distributed data processing and training systems, and supporting data ingestion and transformation for large-scale datasets.

Senior Principal ML Engineer to define and drive the technical strategy for large-scale machine learning platforms and systems at Autodesk. This role involves shaping multi-year architecture, influencing engineering standards, and leading major platform initiatives across training infrastructure, data platforms, evaluation systems, model serving, and operational excellence for production ML.

Senior Development Manager to lead a team of software and ML engineers in building Autodesk's next-generation machine learning platform (AMP), focusing on powering Agentic AI features across products. The role requires technical leadership, strategy, execution, and delivery of scalable AI/ML platforms, with a blend of AI/ML expertise, leadership skills, and project delivery experience.

Principal Conversational Designer to define and deliver conversational design for Autodesk's agentic AI experiences within the AEC organization. This role will shape how customers interact with AI-powered products and workflows through natural, intuitive, and trustworthy conversational experiences, partnering closely with product, UX, engineering, research, and AI teams.

Machine Learning Engineering Manager for Autodesk's AEC Solutions group, responsible for leading a team to build foundation models and generative AI tools for the AEC industry. The role involves recruiting, mentoring, fostering innovation, and ensuring privacy/security standards. Requires MS in a related field, 5+ years in ML engineering, and 3+ years in management. Experience with deep learning frameworks, 3D geometry, and AEC industry is preferred.

Software Architect to lead the architecture of next-generation Go-to-Market (GTM) systems, modernizing platforms and embedding AI-first and agent-driven architectures across Sales and Customer Success. This involves leveraging Agentic AI frameworks and integrating AI technologies to automate workflows, enhance decision-making, and enable intelligent business processes.

Senior Machine Learning Engineer focused on MLOps for CAD and BIM, responsible for building and operating infrastructure to deploy, monitor, and integrate AI models into production across Autodesk products. This role ensures reliability, scalability, and operational excellence for AI-powered experiences, partnering with researchers and product teams.

Director of Engineering for AI Platform accountable for the modern, AI-first experience layer, including agentic interfaces, workflow orchestration, and dynamic UI surfaces. Focuses on platform-level experience leadership, AI-native architectures, and cross-product orchestration to deliver a cohesive, intelligent, and trustworthy end-to-end experience.