Machine Learning Engineering Manager

Autodesk
5 LocationsPosted 22 April 2026

Job Description

Job Requisition ID # 26WD96579 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 b ... (truncated, view full listing at source)
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