Overview
Autodesk 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.
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
Skills
• 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
• 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 Overview
• Autodesk develops 3D design software for use in the architecture, engineering, construction, and media industries. It was founded in 1982, and is headquartered in San Francisco, California, USA, with a workforce of 10001+ employees. Its website is http://www.autodesk.com.
Company H1B Sponsorship
• Autodesk has a track record of offering H1B sponsorships, with 233 in 2025, 243 in 2024, 269 in 2023, 359 in 2022, 298 in 2021, 260 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Company:
Autodesk
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
About Autodesk
Autodesk develops 3D design software for use in the architecture, engineering, construction, and media industries.
