Principal AV Behavior and AI Safety Engineer: Technical Lead

General Motors is a company committed to a vision of zero crashes, zero emissions, and zero congestion. They are seeking a Principal AV Behavior and AI Safety Engineer to lead the development and implementation of safety strategies for AI and autonomous driving systems, ensuring that safety standards are met throughout the development lifecycle.

Responsibilities:

• Referencing ISO 8800, ISO 21448 and AV industry best practices, develop the strategy for ensuring safe AI/ML and autonomous system development, deployment and maintenance
• Work with software, data science and systems engineering teams to ensure GM safely trains new machine learning models to enable autonomous systems
• Ensure continuity of safety as we enhance existing machine learning models to increase performance
• Set the safety standard for how we prototype, test and deploy new AI solutions, including Generative AI
• Set the strategy for testing and validation of data sets and develop an assurance plan
• Set the strategy for how we systematically break down operational design domain components and driving behavior components and how these are validated in aggregate and on a per behavior level
• Work with data science, systems engineering and software teams to set the strategy for how we establish safety launch targets across vehicle behaviors and in aggregate
• Setup an assurance process to validate launch targets have been achieved

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 7+ years of experience in machine learning, engineering, data science, or a related field
• 7+ years in autonomous vehicle or robotics development or related field
• Extensive Experience in the following: Machine Learning & AI Safety: ISO 8800, ISO 21448 and other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics
• Validation of AI Driven Autonomous Systems: Setting the strategy for E2E validation using techniques appropriate to validate AI models
• Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
• Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
• Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform))
• Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
• Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy
• Proven track record providing technical safety leadership in AI/ML and AV development
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment
• Strong problem-solving mindset and a proactive attitude towards learning and self-improvement
• Masters Degree in Computer Science, Engineering, Mathematics or related field
• Extensive NLP solutions from business problem statement to deployment and ongoing optimization
• Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value
• Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value
• Experience leading a team of data scientists to exceed customer expectations