Machine Learning Engineer, AI

About The Company

Autodesk is a global leader in 3D design, engineering, and entertainment software, dedicated to transforming the architecture, engineering, and construction (AEC) industry through innovative technology solutions. With a rich history of pioneering design tools such as AutoCAD, Revit, and Construction Cloud, Autodesk continuously pushes the boundaries of what is possible by integrating cutting-edge technologies like artificial intelligence, cloud computing, and advanced 3D modeling. The company's mission is to empower innovators worldwide to create a better, more sustainable future by providing them with the tools and platforms necessary to realize their visions. Autodesk's commitment to diversity, inclusion, and sustainability underscores its role as a responsible corporate citizen and a forward-thinking industry leader.

About The Role

We are seeking a highly skilled Machine Learning Developer/Engineer to join our AEC Solutions team. In this role, you will be instrumental in advancing Autodesk's AI-driven initiatives within the architecture, engineering, and construction sectors. You will work closely with a talented team of technologists to develop foundational models and generative AI tools designed specifically for the AEC industry. Your expertise will help shape the future of design and engineering workflows by creating intelligent solutions that interpret and enhance design data. This position offers a unique opportunity to lead the development of scalable, reliable machine learning solutions that integrate seamlessly with Autodesk's flagship products, including AutoCAD, Revit, and Forma. You will report directly to the Machine Learning Manager and contribute to projects that influence the entire industry, working in a hybrid or remote setting based on East Coast United States location.

Qualifications

• Master's degree in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field
• 7-10+ years of professional experience in machine learning engineering or a related discipline, demonstrating leadership and hands-on implementation skills
• Expertise in deep learning architectures such as Transformers, Convolutional Neural Networks (CNNs), and Generative Adversarial Networks (GANs)
• Proficiency with modern ML frameworks including PyTorch, Lightning, and Ray
• Experience with Large Language Models (LLMs), embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems in production environments
• Strong understanding of data modeling, system architectures, and data processing techniques
• Experience working with AWS cloud services and SageMaker Studio for scalable data processing and model development
• Solid foundation in computer science fundamentals, distributed computing, and algorithm efficiency
• Proven ability to translate theoretical concepts into practical, deployable solutions
• Excellent communication skills, capable of documenting complex technical information and influencing cross-functional teams

Responsibilities

• Design and oversee the implementation of scalable data pipelines and system architectures for machine learning applications
• Work with large-scale multimodal datasets, developing advanced preprocessing, augmentation, and content understanding techniques
• Develop, optimize, and deploy production-level machine learning solutions with a focus on scalability, robustness, and performance
• Establish best practices for model experimentation, evaluation, and continuous optimization
• Write high-quality, efficient code for ML pipelines, ensuring maintainability and reliability
• Conduct thorough requirements analysis and collaborate with team members across different levels to develop comprehensive solutions
• Set technical direction by identifying key challenges and proposing innovative solutions
• Communicate technical findings effectively through presentations, reports, and visualizations to influence stakeholders
• Mentor junior engineers, fostering a culture of technical excellence and continuous learning within the team

Benefits

• Competitive salary and performance-based incentives
• Health, dental, and vision insurance plans
• Retirement savings plans with company matching
• Flexible work arrangements including hybrid and remote options
• Professional development opportunities and access to cutting-edge technologies
• Paid time off and holidays to support work-life balance
• Inclusive and diverse workplace culture that values innovation and collaboration

Equal Opportunity

Autodesk is committed to creating an inclusive environment and is proud to be an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, veteran status, or any other legally protected characteristic.