Machine Learning Engineer, Sr

About The Company

Autodesk is a global leader in design and engineering software, dedicated to transforming the architecture, engineering, and construction (AEC) industry through innovative technology solutions. Renowned for its flagship products such as AutoCAD, Revit, and Construction Cloud, Autodesk continuously pushes the boundaries of what is possible with cloud-native capabilities, advanced 3D modeling, and graphics. The company's commitment to innovation is exemplified through the integration of artificial intelligence (AI) and machine learning (ML) into its offerings, enabling users to enhance productivity, accuracy, and creativity. Autodesk's culture emphasizes collaboration, diversity, and a passion for building a better world, fostering an environment where talented professionals can thrive and contribute to meaningful projects worldwide.

About The Role

We are seeking a highly skilled Principal Machine Learning Engineer to join our AEC Solutions team. In this pivotal role, you will lead the development and strategic direction of Autodesk's generative AI capabilities within the AEC domain. Your expertise will drive the design of intelligent data processing systems and scalable ML pipelines that transform unstructured inputs such as text, images, and geometric data into structured, actionable insights. As a key member of the team, you will collaborate with AI researchers, software architects, data engineers, and experience designers to create foundation models and generative AI tools that augment design and engineering workflows. This role offers an exciting opportunity to shape the future of digital construction and design by leveraging cutting-edge AI advancements to deliver innovative solutions for our customers. You will report to the ML Development Manager for the Generative AI team and work in a hybrid or remote setting, primarily in Canada or the United States, with a preference for candidates on the East Coast.

Qualifications

• A Master's degree or higher in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, or a related field.
• Minimum of 10+ years of professional experience in machine learning, data science, AI, or related disciplines, with demonstrated technical leadership and hands-on implementation skills.
• Deep understanding of data modeling, system architecture, and processing techniques, including 2D/3D geometric data representations.
• Expertise in deep learning architectures such as Transformers, CNNs, GANs, and familiarity with modern ML frameworks like PyTorch, Lightning, and Ray.
• Experience working with Large Language Models (LLMs), Vision-Language Models (VLMs), embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems in production environments.
• Proficiency with AWS cloud services, including 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 research into practical, scalable solutions and prototypes.
• Excellent communication skills, with the ability to document processes, present findings, and influence cross-functional teams.

Other Qualifications

• Background or experience in Architecture, Engineering, or Construction industries is highly desirable.
• Extensive experience in system design for data preparation, hyperparameter tuning, acceleration techniques, and optimization methods.
• Hands-on experience with parallel and distributed computing platforms such as Spark, Ray, or similar systems for large-scale data processing and training.
• Knowledge of responsible AI principles, including bias mitigation, explainability, and ethical AI practices.

The Ideal Candidate

The ideal candidate is passionate about solving complex problems for AEC customers by applying advanced machine learning techniques. They are strategic thinkers capable of shaping and executing long-term data-driven initiatives aligned with business objectives. Comfortable working in emerging, ambiguous areas, they embrace experimentation, learning, and adaptability. They actively contribute to a culture of continuous growth by sharing knowledge and mentoring peers. Bold and iterative, they are unafraid to propose ideas, experiment, and learn from failures to drive innovation and impact.

Benefits

• Competitive salary package with a starting base salary ranging from $166,600 to $269,500 in the U.S. and from $161,300 to $236,500 in Canada, based on experience and location.
• Annual performance bonuses and stock grants.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work arrangements including hybrid and remote options.
• Opportunities for professional development and continuous learning.
• A collaborative and inclusive work environment that values diversity.

Equal Opportunity

At Autodesk, we are committed to fostering an inclusive and diverse workplace. We are proud to be an equal opportunity employer and consider all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.