Autodesk

Principal Machine Learning Engineer at Autodesk, focusing on integrating AI into AEC products. The role involves exploring and analyzing complex AEC datasets (BIM, drawings, point clouds), building and curating datasets for GenAI, prototyping workflows, and collaborating with AI researchers and product teams. The primary focus is on data preparation and understanding for AI applications within the AEC domain, with secondary involvement in model development and evaluation.

This Principal Research Engineer role focuses on building foundation models and generative AI tools for the AEC industry. The primary responsibilities involve developing scalable data pipelines for diverse AEC and infrastructure data sources, working with large-scale multi-modal datasets (text, geometric, terrain, reality capture) to design preprocessing and content understanding methods, and transforming unstructured data into representations suitable for machine learning. The role also involves collaborating with ML scientists to align data formats for downstream LLM training and fine-tuning, and applying data quality techniques. While the core is data engineering for ML (L0), there's a clear connection to downstream training and fine-tuning (L2).

Autodesk is seeking a Principal Knowledge Engineer to design and operate AI-powered systems for capturing and transforming knowledge from enterprise engagements into structured, reusable guidance. This role involves building AI-assisted pipelines, optimizing AI agents, defining quality metrics, and ensuring data is ready for downstream content production and AI use cases like RAG.

Senior Data Software Engineer focused on building the data foundations for Autodesk's AI-powered personalization platform. This role involves designing and owning scalable data pipelines, backend services, and APIs to support personalization, ML, and agentic workflows. The engineer will work with complex data, ensure data quality and observability, and partner with data scientists and product managers.

Experienced Engineering Manager to lead a Batch Processing platform team responsible for building and scaling a high-throughput, governed data platform that powers critical business decisions and AI products. The role involves leading engineers in designing and operating large-scale distributed data processing systems on a modern lakehouse architecture, enabling reliable, secure, and cost-efficient data movement at petabyte scale.

This role is an internship focused on exploring and prototyping a model-based systems engineering (MBSE) approach for conceptual design of small-scale mechanical assemblies. It involves integrating MBSE with AI/ML methods, computational geometry, and CAD/CAM workflows to enhance early design fidelity. The intern will manage projects end-to-end, create proof-of-concept prototypes, and document findings.

Senior Data Architect responsible for defining the enterprise data architecture vision, focusing on structuring, governing, and activating data for operational systems, customer platforms, and AI/ML ecosystems. The role requires a deep technical understanding to guide implementation and identify opportunities to leverage enterprise data for AI-driven workflows, automation, and intelligent decisioning. This includes designing scalable data foundations for AI systems and ensuring machine learning pipelines are grounded in authoritative data.