Autodesk
Senior Principal Machine Learning Engineer: 2D/3D geometry, structured data
Autodesk, Boston, Massachusetts, us, 02298
Overview
Senior Principal Machine Learning Engineer – Generative AI focusing on 2D/3D geometry, structured data. Location: Remote or Hybrid – United States or Canada. Location preference for occasional in-person collaboration near Boston, MA or Toronto, Canada. You will report to the Machine Learning Manager within the AEC Solutions organization. Autodesk is driving innovation in the Architecture, Engineering, and Construction (AEC) industry by embedding advanced AI into our next-generation cloud-native platforms, applying generative AI and foundation models across products such as AutoCAD, Revit, Construction Cloud, and Forma to transform how professionals design, build, and shape the world.
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.
Architect and guide the development of scalable ML systems and infrastructure supporting multimodal data (text, 2D/3D geometry, structured data).
Lead complex, cross-functional AI/ML initiatives across product, research, and engineering organizations—from problem definition through model deployment and iteration.
Translate evolving research in LLMs, diffusion models, and Retrieval-Augmented Generation (RAG) into practical, scalable, and responsible production solutions.
Champion engineering excellence in ML systems, including reproducibility, automation, deployment tooling, model monitoring, and performance optimization.
Influence Autodesk’s AI/ML roadmap by identifying opportunities where generative AI unlocks new value for AEC customers.
Act as a technical advisor and thought leader across teams, contributing to architectural reviews, strategic planning, and product decisions.
Mentor and coach senior engineers and technical leads, cultivating a culture of innovation, high standards, and continuous learning.
Communicate complex technical topics clearly and persuasively to senior leadership, cross-functional stakeholders, and executive audiences.
Evaluate and integrate external tools, platforms, and technologies that accelerate Autodesk’s AI/ML capabilities.
Minimum Qualifications
MS or PhD in Machine Learning, Artificial Intelligence, Computer Science, or a related field.
12+ years of experience in machine learning engineering, with 5+ years in senior technical leadership roles.
Demonstrated experience leading strategic, high-impact AI/ML initiatives in production environments at scale.
Expertise in modern ML architectures (Transformers, diffusion models, CNNs, GANs) and frameworks (PyTorch, Lightning, Ray).
Proven success deploying generative AI solutions, including LLM fine-tuning, RAG pipelines, or multi-modal modeling.
Strong proficiency with cloud-based ML infrastructure (AWS, SageMaker, Docker, Kubernetes) and distributed computing.
Deep understanding of 2D/3D geometric data and large-scale data processing pipelines.
Exceptional communication and cross-functional collaboration skills, with a track record of influencing across organizations.
Preferred Qualifications
Domain experience in Architecture, Engineering, or Construction (AEC), or deep understanding of AEC workflows and data types.
Familiarity with Autodesk products and ecosystems (e.g., AutoCAD, Revit, BIM workflows).
Prior experience mentoring and developing senior technical talent and shaping team culture.
Experience with ethical AI, model governance, and responsible deployment practices.
Knowledge of data orchestration frameworks (e.g., Spark, MLFlow, Airflow) and scalable experimentation platforms.
About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take pride in our culture and how we work, connect with customers and partners, and show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Benefits & Compensation Salary transparency: For U.S.-based roles, starting base salary is between $166,600 and $269,500. Offers are based on experience and location and may exceed this range. The compensation package may include annual cash bonuses, stock grants, and a comprehensive benefits package. We provide health and financial benefits, time away, and wellness programs. For more information about Autodesk benefits in the U.S., visit benefits.autodesk.com.
Equal Opportunity Autodesk is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, 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.
Referrals increase your chances of interviewing at Autodesk by 2x.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
#J-18808-Ljbffr
Senior Principal Machine Learning Engineer – Generative AI focusing on 2D/3D geometry, structured data. Location: Remote or Hybrid – United States or Canada. Location preference for occasional in-person collaboration near Boston, MA or Toronto, Canada. You will report to the Machine Learning Manager within the AEC Solutions organization. Autodesk is driving innovation in the Architecture, Engineering, and Construction (AEC) industry by embedding advanced AI into our next-generation cloud-native platforms, applying generative AI and foundation models across products such as AutoCAD, Revit, Construction Cloud, and Forma to transform how professionals design, build, and shape the world.
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.
Architect and guide the development of scalable ML systems and infrastructure supporting multimodal data (text, 2D/3D geometry, structured data).
Lead complex, cross-functional AI/ML initiatives across product, research, and engineering organizations—from problem definition through model deployment and iteration.
Translate evolving research in LLMs, diffusion models, and Retrieval-Augmented Generation (RAG) into practical, scalable, and responsible production solutions.
Champion engineering excellence in ML systems, including reproducibility, automation, deployment tooling, model monitoring, and performance optimization.
Influence Autodesk’s AI/ML roadmap by identifying opportunities where generative AI unlocks new value for AEC customers.
Act as a technical advisor and thought leader across teams, contributing to architectural reviews, strategic planning, and product decisions.
Mentor and coach senior engineers and technical leads, cultivating a culture of innovation, high standards, and continuous learning.
Communicate complex technical topics clearly and persuasively to senior leadership, cross-functional stakeholders, and executive audiences.
Evaluate and integrate external tools, platforms, and technologies that accelerate Autodesk’s AI/ML capabilities.
Minimum Qualifications
MS or PhD in Machine Learning, Artificial Intelligence, Computer Science, or a related field.
12+ years of experience in machine learning engineering, with 5+ years in senior technical leadership roles.
Demonstrated experience leading strategic, high-impact AI/ML initiatives in production environments at scale.
Expertise in modern ML architectures (Transformers, diffusion models, CNNs, GANs) and frameworks (PyTorch, Lightning, Ray).
Proven success deploying generative AI solutions, including LLM fine-tuning, RAG pipelines, or multi-modal modeling.
Strong proficiency with cloud-based ML infrastructure (AWS, SageMaker, Docker, Kubernetes) and distributed computing.
Deep understanding of 2D/3D geometric data and large-scale data processing pipelines.
Exceptional communication and cross-functional collaboration skills, with a track record of influencing across organizations.
Preferred Qualifications
Domain experience in Architecture, Engineering, or Construction (AEC), or deep understanding of AEC workflows and data types.
Familiarity with Autodesk products and ecosystems (e.g., AutoCAD, Revit, BIM workflows).
Prior experience mentoring and developing senior technical talent and shaping team culture.
Experience with ethical AI, model governance, and responsible deployment practices.
Knowledge of data orchestration frameworks (e.g., Spark, MLFlow, Airflow) and scalable experimentation platforms.
About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take pride in our culture and how we work, connect with customers and partners, and show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Benefits & Compensation Salary transparency: For U.S.-based roles, starting base salary is between $166,600 and $269,500. Offers are based on experience and location and may exceed this range. The compensation package may include annual cash bonuses, stock grants, and a comprehensive benefits package. We provide health and financial benefits, time away, and wellness programs. For more information about Autodesk benefits in the U.S., visit benefits.autodesk.com.
Equal Opportunity Autodesk is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, 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.
Referrals increase your chances of interviewing at Autodesk by 2x.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
#J-18808-Ljbffr