Autodesk

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.

Principal Technical Program Manager to own execution and delivery for a Generative AI program in the AEC industry, coordinating cross-functional teams to bring models and ML/data pipelines into production customer experiences. This role involves translating strategy into executable workstreams, managing dependencies, risks, and ensuring scalable, secure, reliable AI/ML solutions meet product launch and operational requirements. It also includes defining launch gates, go/no-go criteria, and operational readiness in partnership with various stakeholders.

Product Manager for Generative AI APIs at Autodesk, focusing on developer enablement and translating AI research into scalable, production-ready solutions. The role involves defining product vision, roadmaps, and driving adoption for both internal and external developer tools and APIs, while ensuring alignment with responsible AI principles.