Senior Principal Machine Learning Engineer, Foundational Models
AUTODESK TLV
US
Hybrid
Foundation model engineering
Distributed training frameworks
Pytorch
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
PyTorch
Python
MLOps best practices
Technical leadership
Nice-to-have
Translating academic research
Computational geometry
Working with 3D data
Internal developer platforms for ML
Mentoring senior engineers
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
Expert-level understanding of deep learning architectures
Hands-on experience with distributed training frameworks