Remote AI/ML Safety Engineer for Automotive Analytics

Job Description Work arrangement : Remote. This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The AV Safety Engineering Analytics team seeks an AI/ML Engineer with capabilities at the intersection of vehicle engineering, AI/ML and cloud processing. The team supports teams and stakeholders company‑wide, bringing data and analytics capabilities to AV safety decision making. It integrates continuously flowing data from vehicle systems, company databases, third‑party services, federal agencies and state DOTs to inform system design and quantify driving performance, focusing on continuous uptime pro‑active analyses and supporting specific investigations. What You'll Do Contribute to the development of data analytics infrastructure that supports safety assurance analytics addressing internal and external stakeholder needs across the phases of automated vehicle development and deployment, including both real‑world and simulation data. Apply your AI/ML expertise to developing trustworthy and explainable methods for validating the safety performance of an AI/ML based automated driving system. Mentor and develop team members in the appropriate implementation of AI/ML to support the mission of the SAFE‑ADS department and AV Safety Engineering Analytics team. Pilot and develop metrics for monitoring the development operations and deployment, and establish sufficiency criteria for launch readiness. Develop methods for leveraging a variety of internal and external data sources for AI/ML based safety monitoring and contribute to the development of a reliable supply chain of continuously flowing data from a variety of sources to support safety assurance related activities. Implement cloud‑based continuous uptime analytics solutions for monitoring driving performance for safety and generating browser‑based interactive visualizations and periodic reporting artifacts. Actively contribute to determining appropriate use of AI/ML approaches within automated driving systems and provide technical expertise to inform leadership decision‑making regarding mechanisms for ensuring they are trustworthy and explainable. Through AI/ML expertise, contribute to the definition of GM's data sourcing and processing strategy for AV safety assurance needs, engage externally to influence evolving standards, and contribute to internal and external thought leadership that strengthens GM's position in the autonomous vehicle ecosystem. Represent SAFE‑ADS in AI/ML related discussions across Global Product Safety, Systems, and Certification activities. Identify and drive opportunities to improve the efficiency, quality and transparency of safety analytics within GPSSC and across GM. Your Skills & Abilities (Required Qualifications) Master's degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or a related field; or equivalent practical experience focused on AI/ML. 10+ years of experience in large scale analyses of vehicle related data. 5+ years in safety‑critical AI/ML systems in automotive engineering applications. + Experience in the following: Machine Learning & AI: Extensive experience in building large‑scale models with significant focus on E2E validation. Experience using Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering. AI Standards and Evolving Regulations: Understanding of ISO/PAS 8800, NIST AI Risk Management Framework, EU AI Act (2024‑2027), other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics. Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit‑learn, LangChain, SQL. Cloud & Big Data: Experience in cloud‑based large scale process including notifications, queuing, serverless cloud functions, event‑driven processing, code as infrastructure, containerization, process monitoring, process optimization, identity and access management, service to service access, etc. (Microsoft Azure – Data Lake, Machine Learning, Databricks), (AWS – S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform). Deployment & MLOps: CI/CD, MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira, Jenkins, Poetry, Terraform. Data Analysis & Visualization: Tableau, PowerBI, Plotly/Dash, Shiny, Pandas, NumPy. Proven track record providing technical leadership in AI/ML applied to safety‑critical systems. 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. What Will Give You A Competitive Edge (Preferred qualifications) Record of involvement in public AI/ML related discourse through conference participation or publications. Experience productionizing the use of AI/ML within the corporate setting. Company Vehicle Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. GM does not provide immigration‑related sponsorship for this role. Do not apply if you will need GM immigration sponsorship now or in the future. This role is categorized as remote. The selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. The selected candidate will be required to travel Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email View email address on click.appcast.io and include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Non‑Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. #J-18808-Ljbffr General Motors