
Safety Modeling Engineer – Counterfactual & Behavioral Safety Modeling
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: California • Missouri • United States
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About the role
- Develop driver behavior models representing human response in safety-critical scenarios
- Build statistical and machine learning models using large-scale driving and simulation datasets
- Analyze data to derive behavioral benchmarks and safety performance metrics
- Build scalable modeling pipelines and data workflows
- Partner with cross-functional teams to translate modeling results into safety evaluation methods
- Contribute to safety assessments and safety case evidence
Requirements
- Bachelor’s or higher degree in Engineering, Data Science, Applied Mathematics, Physics, Computer Science, or related field
- Expertise in human performance and capabilities, perception, response and behaviors
- Strong proficiency in Python and SQL and data visualization
- Dev Ops and Infrastructure as Code: CI/CD, versioning, Docker & Kubernetes, GitHub, Jira, Jenkins, Poetry, Terraform
- Experience working with perception, planning and control output
- Experience developing statistical or machine learning models using large datasets
- Experience with behavioral modeling, human performance analysis, or simulation-based analytics
- Demonstrated ability to analyze cross-disciplinary problems and propose practical modeling solutions
- Strong analytical and problem-solving skills
- Ability to communicate technical results to cross-functional stakeholders
Benefits
- Company Vehicle evaluation program
- General Motors vehicle for driving and evaluating
- Training opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
statistical modelingmachine learningdata analysisbehavioral modelinghuman performance analysisdata visualizationPythonSQLCI/CDInfrastructure as Code
Soft Skills
analytical skillsproblem-solving skillscommunication skills