Machine Learning Engineering Manager

Position Overview

As a 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 cross‑organisational collaboration, ensure privacy and security standards, and drive technology roadmaps.

You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.

We support hybrid work. Work is based near Toronto, Canada or Boston, MA.

• Work with your team to help understand requirements, evaluate new features, and build technology roadmaps.
• Build a new team by recruiting talent from diverse backgrounds and perspectives.
• Build partnerships with technical leads and key individuals within other functional organizations to implement compelling solutions.
• Create 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.

• MS in Machine Learning, Mathematics, Statistics, Computer Science, or a related field.
• 5+ years of experience in machine learning engineering or a 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 project 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.

• Experience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standards.
• Experience training deep neural nets, such as CNNs and transformers, and proficiency in at least one deep learning framework, for example PyTorch or Tensor Flow.
• Strong fundamentals in 3D geometry and geometric computer vision.
• Exposure to cloud computing in AWS and using the Sage Maker Studio platform.