Autodesk · 17 hours ago
Principal/Senior Principal Machine Learning Engineer, Generative AI
Texas, United States
Full-time
Hybrid
Senior Level, Lead/Staff
$167K/yr - $270K/yr
10+ years expAutodesk is leading the transformation of the AEC industry by integrating AI technology into its products. The Principal Machine Learning Engineer will develop cutting-edge foundation models and generative AI tools, collaborating with various teams to enhance design and engineering workflows.
3D TechnologyArchitectureConstructionManufacturingSoftware Engineering
Responsibilities
Set the strategic technical vision for Autodesk’s generative AI capabilities in the AEC domain, influencing both short-term priorities and long-term investments
Lead the design and development of intelligent data processing and characterization systems that transform unstructured inputs (e.g., text, images, geometry) into structured, ML-ready formats
Architect and implement scalable, production-grade data and ML pipelines that support training and fine-tuning of models
Drive strategic technical planning across the team—identifying bottlenecks, proposing long-term architectural improvements, and aligning data/ML infrastructure with product goals
Collaborate closely with data engineers, applied scientists, and product teams to integrate large-scale data and related attributes into model development workflows
Perform hands-on development of data preprocessing, feature extraction, and transformation modules optimized for downstream ML model performance
Define and establish best practices for model experimentation, evaluation, and deployment in high-throughput environments
Investigate and apply advanced techniques including self-supervised learning, active learning, and weak supervision to maximize the value of unlabeled data
Own and evolve the model/data feedback loop by monitoring model quality, diagnosing failure modes, and guiding iterative improvements
Mentor and support a team of ML engineers, fostering a culture of engineering excellence, curiosity, and technical ownership
Stay current with advances in generative AI, foundation models, and data-centric AI—translating research into practical, scalable solutions
Qualification
Required
A Master's degree (or higher) in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics or a related field
10+ years of work experience in machine learning, data science, AI, or a related field with a proven track record of technical leadership and hands-on implementation
Deep understanding of data modelling, system architectures, and processing techniques, including 2D/3D geometric data representations
Expertise in deep learning architectures (e.g., Transformers, CNNs, GANs) and modern ML frameworks (e.g., PyTorch, Lightning, Ray)
Experience with Large Models (LLMs and/or VLMs) and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, in production settings
Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development
Strong foundation in computer science fundamentals, distributed computing, and algorithmic efficiency
Proven ability to translate theoretical concepts into practical solutions and prototype implementations
Ability to work autonomously while effectively collaborating across teams, bridging the gap between research and practical implementation
Excellent technical writing and communication skills for documentation, presentations, and influencing cross-functional teams
Preferred
Background in Architecture, Engineering, or Construction
Extensive experience in system design for data preparation, hyperparameter selection, acceleration techniques, and optimization methods
Proficiency in parallel and distributed computing techniques, with hands-on experience using platforms like Spark, Ray, or similar distributed systems for large-scale data processing and model training
Familiarity with responsible AI principles, including bias mitigation, explainability, and ethical AI practices
Benefits
Annual cash bonuses
Commissions for sales roles
Stock grants
Comprehensive benefits package
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
Private Capital Journal
2026-01-07
Company data provided by crunchbase