Autodesk · 1 hour ago
Principal Machine Learning: Generative AI. United States
Autodesk is leading the transformation of the AEC industry by integrating AI technology into their products. They are seeking a Principal Machine Learning Developer/Engineer to build foundation models and generative AI tools for the AEC industry, enhancing design and engineering workflows.
3D TechnologyArchitectureConstructionManufacturingSoftware Engineering
Responsibilities
Architect and guide the implementation of scalable data pipelines and architectures
Work with large-scale multimodal datasets (text, unstructured and structured data), developing advanced preprocessing, augmentation, and content understanding techniques
Architect, develop, and optimize production-level ML solutions, focusing on scalability and reliability, while contributing to engineering best practices
Establish best practices for model experimentation, evaluation, and optimization
Contribute to technical execution by writing well-structured, high-performance code for production ML pipelines
Perform in-depth requirements analysis, collaborating with team members at different levels and documenting solutions
Set the technical direction by identifying key challenges and defining innovative solutions
Communicate technical findings effectively, influencing stakeholders through quantitative analysis, qualitative insights, and clear visual presentations
Mentor and guide junior engineers, fostering a culture of technical excellence and knowledge-sharing within the team
Qualification
Required
An MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field
7-10+ years of experience in machine learning engineering or a related field, with a proven track record of leadership and hands-on implementation
Expertise in deep learning architectures (e.g., Transformers, CNNs, GANs) and modern ML frameworks (e.g., PyTorch, Lightning, Ray)
Experience with LLMs and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, in production settings
Deep understanding of data modeling, system architectures, and processing techniques
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 data preparation, hyper-parameter 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
Proven record in developing and deploying high-scale machine learning algorithms in production environments
Company
Autodesk
Autodesk develops 3D design software for use in the architecture, engineering, construction, and media industries.
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
Recent News
2026-01-14
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