Software Engineer, Machine Learning Tooling
Core
Build infrastructure and tooling to monitor, diagnose, and optimize the performance of ML models within the autonomous driving software stack.
Role type
Machine Learning Tooling Engineer
Builds
Internal tooling and databases for ML model performance monitoring, debugging, and release tracking
Domain
Autonomous driving / Machine Learning Infrastructure
Deliverable
infrastructure
Required skills
software development, data structures and algorithms, data visualization tools
Preferred skills
relational and non-relational databases, data governance, building infrastructure for models and failure diagnosis
Technologies
data visualization tools, databases
Responsibilities
Build infrastructure to monitor and diagnose ML model compatibility and performance issues; Partner with ML engineers to optimize model performance through tooling; Build and sustain a database of ML model performance metrics for internal customers
Seniority
Mid-level, hands-on IC