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Career coaching and recruiting for AEC professionals | Est. 2018

Out of Architecture logo

A career resource network, coaching service, and recruiting firm for architects, engineers, and allied design professionals — exploring what's possible in, out, and adjacent to the profession since 2018.

Community

The CollectiveJob BoardJoin our Talent Pool

Services

Hire Great TalentBook a ConsultationBook an Intro CallEarly Career Intro Call

Company

About OOAPressAudiobookContactThe BookPrivacy Policy

© 2026 Out of Architecture. All rights reserved.

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Autodesk logo

Autodesk

Machine Learning Engineer

RemotePosted Jul 10, 2025

Location: Remote

Discipline: UX / Product Design

Experience: 5+ years

Compensation: TBD

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 advanced3Dmodeling and graphics. This innovation is happening across our flagship products—AutoCAD, Revit, and Construction Cloud—and Forma, our new Industry Cloud.

As aMachine LearningEngineer 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 theMachine LearningManager in the Architecture, Engineering, and Construction (AEC) Solutions Team.

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

  • Massachusetts, USA - Remote

  • New Jersey, USA - Remote

  • New Hampshire, USA - Remote

  • Georgia, USA - Remote

  • AMER - United States - Georgia - Atlanta - Peachtree St NW

  • Boston, MA, USA

  • AMER - United States - Georgia - Offsite/Home

  • AMER - United States - Florida - Offsite/Home

  • Atlanta, GA, USA

  • Florida, USA - Remote

To view this job and apply, click here.

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A career resource network, coaching service, and recruiting firm for architects, engineers, and allied design professionals — exploring what's possible in, out, and adjacent to the profession since 2018.

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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 formodeltraining, testing, and deployment.Design and executemodelexperiments, evaluate performance, and iterate based on findings

  • Monitor, troubleshoot, and optimizemachine learningmodels 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 inmachine learningengineering 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 asPyTorch, Lightning, and Ray

  • Proven experience scalingmachine learningtraining 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 computationalgeometryand geometric methods

  • Experience in data modeling, architecture, and processing using varied data types, particularly2D and3Dgeometric data representations

  • Proficiency with version control,modelreproducibility practices, and deployment ofmachine learningmodels

  • 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 theoreticalmachine learningconcepts into practical, scalable solutions and prototype implementations

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

  • Practical experience with hyperparameter tuning,modeloptimization methods, and acceleration techniques

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

  • Demonstrated experience developing high-scale, production-grademachine learningalgorithms

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, contactAutodesk Careers.

To view this job and apply, click here.

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