Machine Learning Engineer

2 Months ago • 3-5 Years • Research Development

Job Summary

Job Description

As a Machine Learning Engineer, you will be part of the AEC Solutions team, focusing on building foundation models and generative AI tools for the Architecture, Engineering, and Construction (AEC) industry. You will collaborate to create and interpret design data to enhance design and engineering workflows. Responsibilities include developing scalable data pipelines, working with large-scale datasets including text and geometric data, writing production-quality code for model training, testing, and deployment. Other responsibilities include performing requirements analysis, communicating findings through data analysis, and implementing agile approaches. The role requires monitoring, troubleshooting, and optimizing machine learning models.
Must have:
  • Bachelor’s or Master’s in a related field.
  • 3-5+ years experience in machine learning.
  • Expertise in training deep neural networks.
  • Experience scaling machine learning pipelines.
  • Hands-on experience with LLMs.
  • Strong background in computational geometry.
  • Experience with 2D and 3D geometric data.
  • Proficiency with model reproducibility.
Good to have:
  • Experience with building distributed systems.
  • Background in AEC industry.
  • Domain knowledge in relevant industries.
  • Experience with Autodesk products.

Job Details

Job Requisition ID #

25WD89728

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 Machine Learning Manager in the
Architecture, Engineering, and Construction (AEC) Solutions Team.


Location: We support hybrid work or remote work in Canada.


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

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, or a related technical field, or equivalent industry experience

  • 3–5+ years of hands-on experience in machine learning engineering or a closely related field

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

  • Proven experience scaling machine learning training and data pipelines

  • Hands-on experience with Large Language Models (LLMs) and related technologies, including embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems

  • Strong background in computational geometry and geometric methods

  • Experience in data modeling, architecture, and processing using varied data types, particularly 2D and 3D geometric data representations

  • Proficiency with version control, model reproducibility practices, and deployment of machine learning models

  • Familiarity with cloud services and architectures, especially AWS (e.g., SageMaker Studio), and ideally Azure

  • Strong understanding of fundamental computer science algorithms and their scaling behaviors

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

  • Ability to translate theoretical machine learning concepts into practical, scalable solutions and prototype implementations

  • Excellent documentation skills, including code, architecture design, and experiment tracking

  • Practical experience with hyperparameter tuning, model optimization methods, and acceleration techniques

  • Experience with distributed computing platforms such as Apache Spark or Hadoop

  • Demonstrated experience developing high-scale, production-grade machine learning algorithms

Preferred Qualifications

  • Experience building or working with distributed systems

  • Background in the Architecture, Engineering, or Construction (AEC) industry

  • Domain knowledge in design, manufacturing, AEC, or media & entertainment industries

  • Experience with Autodesk products or similar software tools

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.

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About The Company

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. Over 100 million people use Autodesk software like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more to unlock their creativity and solve important design, business and environmental challenges. Our software runs on both personal computers and mobile devices and taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate and fabricate their ideas in 3D. We provide exceptional compensation/benefit packages and we’d love for you to join us. We’re proud to be an equal opportunity employer and we consider all qualified applicants without regard to race, gender, disability, veteran status or other protected category. To see our culture in action, check out #AutodeskLife. We are headquartered in the San Francisco Bay Area and have more than 10,000 employees worldwide.

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