Position Overview
If you're looking to make a significant impact and shape the future of the AEC industry, this is the role for you. AI is the future of design and make, and Autodesk is pioneering the transformation of the AEC industry. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products—AutoCAD, Revit, and Construction Cloud—and Forma, our new Industry Cloud.
As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team to collaborate across organizations to build the latest foundation models and generative AI tools for the AEC industry. You will also ensure that we maintain privacy and security standards respecting and safeguarding our customers' data.
You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.
We support hybrid work, and you work near our Toronto, Canada or Boston, MA.
Responsibilities
Work with your team to help understand requirements, evaluate new features, and help build technology roadmaps
Build a new team by recruiting talent from diverse backgrounds and perspectives
Build partnerships with technical leads and important individuals within other functional organizations, to implement compelling solutions
Build an inclusive culture, mentor team members, and provide your team with the tools to reach their goals
Foster a culture of innovation, continuous improvement, and excellence
Keep up-to-date with the latest AI trends and apply this expertise to improve team performance and product quality
Create tactical execution plans and ensure adherence to budgets, schedules, and performance expectations
Educate leaders at Autodesk on best uses and practices of AI
Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless
Minimum Qualifications
MS in Machine Learning, Mathematics, Statistics, Computer Science, or a related field
5+ years of experience in machine learning engineering or related field
3+ years of experience as a manager
Experience building an innovative and creative team culture
Ability to break down a large, long lead projects into shorter, clear milestones to deliver value incrementally
Strong interpersonal skills and ability to work across many organizations
Experience with Scrum and Agile development processes and methodologies
Preferred Qualifications
Experience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standards
Experience training deep neural nets, such as CNN and transformers and proficiency in least one deep learning framework, for example PyTorch, TensorFlow
Strong fundamentals in 3D geometry and geometric computer vision
Exposure to Cloud Computing in AWS and using the SageMaker Studio platform
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $148,500 and $266,200. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity