Machine Learning Engineer

• Support AI researchers by building scalable ML training pipelines and infrastructure for foundation model development
• Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
• Optimize distributed training systems and develop solutions for model parallelism, checkpointing, and efficient resource management
• Analyze performance bottlenecks and provide solutions to scaling problems
• Implement and maintain robust, testable, well-documented code
• Collaborate with researchers and engineers on projects at the intersection of research and product
• Present results to collaborators and leadership
• Contribute to infrastructure that enables ML-powered product features for AEC (architecture, engineering, construction)

Principal Machine Learning Operations Developer – AEC

Director, MLOps

Senior ML Engineer – Learned Localization

Staff ML Engineer – E2E

Staff ML Engineer – Learned Behaviors

Staff ML Engineer – Road & Lane Detection