Principal Engineer, Data & ML Infrastructure
Core
Lead the Ground Truth Regression team to build large-scale AI model and software evaluation frameworks for validating autonomous vehicle perception changes.
Role type
Principal Engineer, Technical Lead (Data & ML Infrastructure)
Builds
AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UIs
Domain
Autonomous driving / Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Machine learning, data mining, statistical analysis, large-scale cloud framework development, distributed computing, Python programming, team leadership
Preferred skills
Ph.D. in Computer Science, AWS/GCP/Azure cloud platforms, autonomous driving domain experience, AI/ML community publications
Technologies
AWS, Kubernetes, Python
Responsibilities
Lead a diverse team of engineers to deliver critical software supporting ML model development; Research and develop new large-scale data warehousing and analysis workflows; Own large-scale data analysis workflows to surface impacts of ML changes; Build high-quality datasets for training and edge case validation; Provide statistical depth on model performance through error and change analysis; Provide technical leadership and mentorship to the team
Seniority
Principal, hands-on IC with leadership
