Senior Principal Machine Learning Engineer, Foundational Models
Autodesk
US
Hybrid
Foundation model engineering
Distributed training frameworks
Large-scale ml systems
Act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, reinforcement learning, data systems, and large-scale ML platforms
Job Summary
Act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, reinforcement learning, data systems, and large-scale ML platforms.
Define the long-term technical vision for Generative AI and Foundation Model infrastructure within the AEC Solutions team and influence architectural decisions across the broader organization.
Establish standards for model evaluation, versioning, monitoring, and MLOps best practices to ensure reproducibility and reliability in a high-stakes production environment.
Matching Summary
Act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, reinforcement learning, data systems, and large-scale ML platforms.
Skills & Requirements
Must-have
Foundation Model Engineering
Distributed training frameworks
Large-scale ML systems
PyTorch
Python
Technical leadership
Nice-to-have
Translating academic research
MLOps best practices
Mentoring senior engineers
Shaping technical culture
Real-world impact at scale
Key Requirements
Master's or PhD in AI/ML related field
10+ years of experience in machine learning
Proven track record of technical leadership
Experience mentoring engineers
Experience leading large-scale ML systems delivery
Expert-level understanding of deep learning architectures
Hands-on experience with distributed training frameworks