Machine Learning Engineering Manager
Autodesk, Inc.
Position Overview
Job Requisition ID # 26WD99363. 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
Salary Transparency
For Canada based roles, we expect a starting base salary between $0 and $0. 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.
#J-18808-LjbffrVacancy posted 15 days ago
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