Machine Learning Engineer

Job Requisition ID #

25WD85360

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.

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

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

• Can easily collaborate 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 their ideas out there and fail fast

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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 – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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