Autodesk · 4 hours ago
Principal Machine Learning Engineer, 3D Data and Generative AI Systems
United States
Full-time
Remote
Lead/Staff
10+ years expAutodesk is transforming the AEC (Architecture, Engineering, and Construction) industry by embedding generative AI and data-driven intelligence deeply into our products. 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.
3D TechnologyArchitectureConstructionManufacturingSoftware Engineering
Responsibilities
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
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
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
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
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
Qualification
Required
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
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
Company
Autodesk
Autodesk develops 3D design software for use in the architecture, engineering, construction, and media industries.
10001+ employees
H1B Sponsorship
Autodesk has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (233)
2024 (243)
2023 (269)
2022 (359)
2021 (298)
2020 (260)
Funding
Current Stage
Public CompanyTotal Funding
$1.5BKey Investors
CitibankOK Blockchain Capital
2025-07-01Acquired
2025-05-08Post Ipo Debt· $1.5B
2020-08-25Seed
Leadership Team
Andrew Anagnost
President and Chief Executive Officer
Janesh Moorjani
CFO
Recent News
Venture Capital Journal
2026-01-07
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2026-01-07
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