Position Overview

Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. 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 a Machine Learning Engineer on the AEC Solutions team, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry. You will work collaboratively to create and interpret design data that can enhance design and engineering workflows.

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

Location: We support hybrid work, and you work near our Boston, Massachusetts or Toronto, Canada offices.

Responsibilities

• Collaborate with other engineers to develop data pipelines and architectures, and support tasks related to data collection, storage, processing, and analysis

• Write code for model training, testing, and deployment

• Monitor and troubleshoot machine learning models to ensure accuracy and performance

• Perform requirements analysis, working with team members of different levels and documenting solutions

• Work with large-scale data sets and manage data flow between systems

• Organize and process large batches of text and geometric data

• Communicate your findings through quantitative data analysis and qualitative visuals and insights

Minimum Qualifications

• A MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field

• 3+ years of experience in machine learning engineering or related field

• Domain expertise in 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

• Good understanding of fundamental CS algorithms and their scaling behaviors

• Good coding skills covering procedural and data-analytics oriented languages (such as Python)

• Able to translate theoretical concepts into practical solutions and prototype implementations

Preferred Qualifications

• Background in Architecture, Engineering, or Construction

• Practical experience in data preparation, hyper-parameter selection; acceleration techniques; and optimization methods

• Exposure to cloud computing in AWS, Azure or Google Cloud

• Experience in parallel distribution of algorithms using platforms such as Spark or Hadoop

• Practical experience developing high scale machine learning algorithms

The Ideal Candidate

• Is passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques

• Is comfortable working in newly forming ambiguous areas where learning and adaptability are key skills

• Easily collaborates with others and are comfortable with minimal direction

• Is constantly striving to learn new technologies and methodologies

• Seeks new ways to solve hard problems

• Is unafraid to put your ideas out there and fail fast

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.