AV Safety Engineering Analytics AI/ML Engineer (GPSSC)
Core
Subject matter expert implementing AI/ML methods for safety assurance analytics, validating automated driving systems, and developing data analytics infrastructure for vehicle safety.
Role type
Senior IC AI/ML Engineer (Automotive Safety)
Builds
Cloud-based continuous up-time analytics solutions, browser-based interactive visualizations, and safety monitoring metrics for automated driving systems.
Domain
Autonomous Vehicles / Automotive Safety Engineering
Deliverable
production ML models
Required skills
Large-scale AI/ML model building, E2E validation, LLMs, Generative AI, RAG, Deep learning, Reinforcement Learning, NLP, Python, PyTorch, TensorFlow, Azure Data Lake, Databricks, CI/CD, MLflow, Docker, Kubernetes, Tableau, PowerBI
Preferred skills
Public AI/ML discourse participation, productionizing AI/ML in corporate settings
Technologies
Microsoft Azure, AWS, Google Cloud Platform, LangChain, Scikit-learn, XGBoost, Random Forest, SQL, Terraform, Jenkins, GitHub
Responsibilities
Develop trustworthy and explainable methods for validating safety performance of AI/ML based automated driving systems; Contribute to data analytics infrastructure supporting safety assurance across development and deployment phases; Mentor team members in AI/ML implementation; Pilot and develop metrics for monitoring development operations and deployment; Implement cloud-based continuous up-time analytics solutions; Define data sourcing and processing strategy for AV safety assurance needs.
Seniority
Senior, hands-on IC with technical leadership
