"Alerted.org

Job Requisition ID #

26WD94771

Principal** **_Machine Learning_** **Engineer,** **_3D_** **& Generative AI Systems

Position Overview

Autodesk is transforming the AEC (Architecture, Engineering, and Construction) industry by embedding generative AI and data-driven intelligence deeply into our products. Across AutoCAD, Revit, Construction Cloud, and Forma, we are building cloud-native, AI-powered systems that operate at the scale and complexity of real-world design and construction data.

As a **Principal** **_Machine Learning_** **Engineer on the AEC Solutions team** , you will lead the design and implementation of **new** **_machine learning_** **models for large-scale** **_3D_** **data retrieval and representation learning** . Your work will focus on transforming complex geometric data—meshes, point clouds, CAD/BIM representations—into high-quality embeddings and retrieval systems that power next-generation design workflows.

This role combines **deep** **_model_** **development** , **production ML systems** , and **technical leadership** . You will architect and build end-to-end ML pipelines using **Airflow and AWS** , collaborate closely with researchers and product teams, and set the technical direction for how Autodesk builds, trains, evaluates, and deploys _3D_ -aware ML systems. _3D_ -awar

You will report to an **ML Development Manager for the Generative AI team** .

**Location:** Remote or Hybrid (Canada or United States; East Coast preferred)

Responsibilities

Technical Leadership & Strategy

+ Set the **technical vision** for _3D_ data retrieval and representation learning across Autodesk’s AEC AI initiatives

+ Influence short- and long-term investments in **models, data infrastructure, and ML systems**

+ Identify architectural gaps and scalability bottlenecks, and drive cross-team alignment on long-term solutions

_Model_** **& Algorithm Development

+ Design and implement **new ML models** for _3D_ data understanding and retrieval, including geometric embeddings and _multimodal_ representations

+ Apply advanced techniques such as **self-supervised learning, weak supervision, and active learning** to leverage large volumes of unlabeled design data

+ Optimize data representations and feature extraction pipelines for downstream _model_ performance and retrieval quality

Production ML & Pipelines

+ Architect and own **production-grade ML pipelines** , orchestrated with **Airflow** , supporting:

+ large-scale data preprocessing

+ _model_ training and fine-tuning

+ evaluation and deployment workflows

+ Build scalable systems on **AWS** , including integration with SageMaker and distributed training or data processing frameworks

+ Establish best practices for **_model_** **experimentation, versioning, evaluation, and monitoring** in high-throughput environments

Data Systems & Feedback Loops

+ Lead the development of intelligent data processing systems that transform **unstructured** **_3D_** **, text, and image data** into ML-ready formats

+ Own the **_model_** **/data feedback loop** , monitoring quality, diagnosing failure modes, and guiding iterative improvements based on real-world usage

+ Collaborate with data engineers and applied scientists to ensure data quality, lineage, and reproducibility

Collaboration & Mentorship

+ Work closely with AI researchers, software architects, and product teams to integrate models into customer-facing workflows

+ Mentor and guide ML engineers, raising the technical bar and fostering a culture of ownership, rigor, and curiosity

+ Communicate complex technical ideas clearly through documentation, design reviews, and cross-functional presentations

Minimum Qualifications

+ Master’s degree or higher in Computer Science, _Machine Learning_ , Artificial Intelligence, Mathematics, Statistics, or a related field

+ **10+ years** of experience in _machine learning_ or AI, with demonstrated **technical leadership and hands-on** **_model_** **development**

+ Strong expertise in **deep learning architectures** (e.g., Transformers, CNNs, GANs) and modern ML frameworks such as **_PyTorch_** **, Lightning, and Ray**

+ Proven experience building **new models** (not just applying existing ones), especially for **retrieval, embeddings, or representation learning**

+ Deep understanding of **_3D_** **data representations** and processing techniques (e.g., meshes, point clouds, CAD/BIM _geometry_ )

+ Experience building and operating **production ML pipelines** , including orchestration with **Airflow**

+ Hands-on experience with **AWS** and **SageMaker** for scalable training and deployment

+ Strong foundations in computer science, distributed systems, and algorithmic efficiency

+ Excellent written and verbal communication skills, with the ability to influence across teams

Preferred Qualifications

+ Background or domain experience in **Architecture, Engineering, or Construction**

+ Experience with **LLMs, VLMs, vector databases, and retrieval systems** , including RAG-style architectures

+ Proficiency with **distributed data processing or training** (e.g., Spark, Ray, custom pipelines)

+ Experience designing systems for **large-scale data preparation, optimization, and acceleration**

+ Familiarity with **Responsible AI** practices, including bias mitigation, interpretability, and ethical considerations

The Ideal Candidate

+ Is passionate about solving **real AEC customer problems** using _machine learning_ and AI

+ Enjoys tackling **technically complex, ambiguous problems** where new approaches are required

+ Thinks strategically but remains deeply hands-on

+ Actively mentors others and contributes to a strong engineering culture

+ Is iterative, bold, and comfortable experimenting, learning, and refining ideas quickly

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%[email protected]%3E) .