Autodesk
Senior/Principal Machine Learning Engineer, Generative AI
Autodesk, Boston, Massachusetts, us, 02298
Senior/Principal Machine Learning Engineer, Generative AI
Join Autodesk as a Senior/Principal Machine Learning Engineer, Generative AI. We are leading the transformation of the AEC industry, integrating AI technology into our products, including cloud-native capabilities, data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. Position Overview As a Machine Learning Engineer on the AEC Solutions team, you will help build cutting-edge foundation models and generative AI tools for the AEC industry. You will collaborate with AI Researchers, ML Engineers, Software Architects, and Experience Designers to generate and interpret design data that can augment design and engineering workflows. Responsibilities
Set the strategic technical vision for Autodesk’s generative AI capabilities in the AEC domain. Lead the design and development of intelligent data processing and characterization systems. 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 and align data/ML infrastructure with product goals. Collaborate closely with data engineers, applied scientists, and product teams to integrate large-scale data into model development workflows. Perform hands-on development of data preprocessing, feature extraction, and transformation modules. Define and establish best practices for model experimentation, evaluation, and deployment. Investigate and apply advanced techniques including self-supervised learning, active learning, and weak supervision. Own and evolve the model/data feedback loop by monitoring model quality and guiding iterative improvements. Mentor and support a team of ML engineers, fostering a culture of engineering excellence and technical ownership. Stay current with advances in generative AI, foundation models, and data-centric AI. Minimum Qualifications
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. Expertise in deep learning architectures and modern ML frameworks. Experience with Large Models and related technologies 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. Excellent technical writing and communication skills for documentation, presentations, and influencing cross-functional teams. Equal Employment Opportunity Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic.
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Join Autodesk as a Senior/Principal Machine Learning Engineer, Generative AI. We are leading the transformation of the AEC industry, integrating AI technology into our products, including cloud-native capabilities, data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. Position Overview As a Machine Learning Engineer on the AEC Solutions team, you will help build cutting-edge foundation models and generative AI tools for the AEC industry. You will collaborate with AI Researchers, ML Engineers, Software Architects, and Experience Designers to generate and interpret design data that can augment design and engineering workflows. Responsibilities
Set the strategic technical vision for Autodesk’s generative AI capabilities in the AEC domain. Lead the design and development of intelligent data processing and characterization systems. 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 and align data/ML infrastructure with product goals. Collaborate closely with data engineers, applied scientists, and product teams to integrate large-scale data into model development workflows. Perform hands-on development of data preprocessing, feature extraction, and transformation modules. Define and establish best practices for model experimentation, evaluation, and deployment. Investigate and apply advanced techniques including self-supervised learning, active learning, and weak supervision. Own and evolve the model/data feedback loop by monitoring model quality and guiding iterative improvements. Mentor and support a team of ML engineers, fostering a culture of engineering excellence and technical ownership. Stay current with advances in generative AI, foundation models, and data-centric AI. Minimum Qualifications
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. Expertise in deep learning architectures and modern ML frameworks. Experience with Large Models and related technologies 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. Excellent technical writing and communication skills for documentation, presentations, and influencing cross-functional teams. Equal Employment Opportunity Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic.
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