Machine Learning Developer

PlanGridMattapan, MA, US

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Machine Learning Developer

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 productsAutoCAD, Revit, and Construction Cloudand 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 Machine Learning 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 scalable data pipelines and architectures
Work with large-scale datasets including text and geometric data, to support preprocessing, augmentation, analysis and content understanding
Write production-quality code for model training, testing, and deployment. Design and execute model experiments, evaluate performance, and iterate based on findings
Monitor, troubleshoot, and optimize machine learning models to ensure accuracy, efficiency, and low latency
Perform requirements analysis, working with team members of different levels and documenting solutions
Communicate your findings through quantitative data analysis and qualitative visuals and insights
Implement agile approaches ensuring flexibility and responsiveness to evolving project needs

Minimum Qualifications :

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

3 - 5+ years of experience in machine learning engineering or a related field

Expertise in training deep neural networks, such as CNNs and Transformers, with proficiency in modern deep learning libraries and frameworks (e.g., PyTorch, Lightning, Ray)

Experience with LLMs and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems

Experience in data modeling, architecture, and processing using various data representations, including 2D / 3D geometry

Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development

Strong understanding of fundamental computer science algorithms and their scaling behaviors

Excellent coding skills in both procedural and data-analytics-oriented languages (e.g., Python)

Ability to translate theoretical concepts into practical solutions and prototype implementations

Strong documentation skills for code, architectures, and experiment

Background in Architecture, Engineering, or Construction

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

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

Practical experience in developing high scale machine learning algorithms

The Ideal Candidate :

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

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

You easily collaborate with others and are comfortable with minimal direction

You are constantly striving to learn new technologies and methodologies

You seek new ways to solve hard problems

You are unafraid to put your ideas out there and fail fast

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Machine Learning • Mattapan, MA, US