Location: San Francisco, CA
Discipline: UX / Product Design
Experience: TBD
Compensation: $99,500
Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter. As Construction Research Scientist in the Construction Research Industry Futures team, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.
As a member of the Industry Futures team, you will be working side-by-side with world-class researchers and engineers to build new AI driven construction workflows that will help our customers imagine, design, and make a better world. The Industry Futures team is active in the wider research community and has developped active collaboration with academia and industry leaders in the field of construction.
You are a research scientist specialized in construction and have expertise in AI, Machine Learning, LLM... You have experience training large machine learning models with distributed deep learning. Your skills span across the design of large machine learning models, running large scale experiments informed by scaling laws, and optimizing data and compute GPU throughput to perform efficient model training. You are passionate about solving problems and building things. You are excited to collaborate with industry partners to build leading edge features in Autodesk products. You are a good communicator and comfortable working at the intersection of research & product. This role is ideal for a PhD student with a keen interest in advanced technology development and a passion for enhancing the experience for construction professionals.
The location of this role is flexible. We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a flexible hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.
