Senior ML Validation Engineer
Core
Lead applied machine learning research to improve verification and validation of ML components for robotics and autonomous driving systems via simulation-based evaluation and uncertainty modeling.
Role type
Senior ML Validation Research Engineer
Builds
Simulation-based validation tools, scenario generation frameworks, and robust metrics for autonomy ML systems.
Domain
Autonomous driving and robotics
Deliverable
production ML models
Required skills
ML research, simulation-driven evaluation, Python, PyTorch/JAX/TensorFlow, CI/CD integration, prototype development, uncertainty modeling, OOD detection
Preferred skills
Autonomy stacks (perception/prediction/planning), CARLA/SVL/DriveSim simulation platforms, Bayesian ML, causal inference, digital twin systems, automotive safety standards (ISO 26262, UL 4600, SOTIF)
Technologies
Python, PyTorch, JAX, TensorFlow, CARLA, SVL, DriveSim
Responsibilities
Prototype research concepts into performant tools integrated into CI/CD pipelines; Develop scenario generation, coverage-guided testing, and rare-event discovery tooling; Create robust metrics, predictors, uncertainty and Out-of-Distribution detection methods; Evaluate deep learning modules across perception, prediction, and planning in realistic sensor and traffic simulation; Author technical documentation, white papers, and contribute to validation methodology standards.
Seniority
Senior, hands-on IC
