Autodesk

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.

Machine Learning Engineer at Autodesk Research to build and enable ML-powered capabilities in Autodesk products, focusing on generative AI features. The role involves working with researchers and engineers in a fast-moving, research-driven environment, building ML pipelines, prototypes, and evaluation workflows, and working with complex 2D/3D geometry datasets.

Senior Software Engineer focused on designing and implementing scalable AI/ML serving systems within a hybrid cloud architecture. Responsibilities include managing model deployment, versioning, performance monitoring, and optimization, while ensuring security and compliance. The role requires strong software engineering skills, familiarity with AI/ML frameworks, and experience with cloud technologies and DevOps practices.

Senior ML Engineer at Autodesk's Growth and Experience Technology (GET) organization, focusing on building and deploying production-grade ML systems for personalization, recommendations, search, and generative AI across the customer journey. The role involves the full ML lifecycle, from problem framing to deployment, with a strong emphasis on scalable infrastructure and product partnership.

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.

Principal Backend / Data Engineer for Autodesk Info360 Operational Analytics team. Focus on designing, building, and scaling cloud-native backend services and APIs on AWS for high-frequency, large-scale time-series data. Key responsibilities include optimizing data pipelines, ETL/ELT processes, and building backend infrastructure to support AI/ML-powered features, model serving, feature pipelines, and predictive alerting. Role requires strong AWS, data pipeline, streaming, time-series data, and systems design experience, with familiarity in AI/ML infrastructure and observability.

Senior Fullstack Software Engineer to support research and foundation model development. The role involves building systems for rapid experimentation, prototyping, model deployment, evaluation, and integration into production workflows, working closely with research scientists, ML engineers, and infrastructure teams. The engineer will also work with 3D data and contribute to CI/CD and data pipelines.

This role focuses on building and operating an enterprise multi-cloud infrastructure automation platform, with a significant component involving the integration of AI for observability and automation. The primary output is the platform itself (L3), but it incorporates AI capabilities for enhanced functionality.

Seeking a Principal Engineer to lead the design and development of scalable, secure, and high-performance integration solutions on the AWS platform, focusing on cloud-native services for the Customer Success Platform. The role involves driving architecture and implementation of AWS-based integrations, collaborating with stakeholders, and providing technical leadership. Expertise in AWS services, data and AI capabilities, and modern integration patterns is required.