Autodesk
Senior Machine Learning Engineer
Autodesk, Boston, Massachusetts, us, 02298
Job Requisition ID #
24WD81479
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.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20%3Ccareers@autodesk.com%3E) .
24WD81479
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.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20%3Ccareers@autodesk.com%3E) .