AI Research Scientist - Safety
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Job Description
• Lead strategic research and engineering initiatives in AI safety, alignment, and model reliability, with direct application to ADAS feature releases and autonomous systems.
• Advance generative world models, simulation frameworks, and physical reasoning techniques to evaluate complex driving edge cases and validate system behavior.
• Collaborate with global R&D; teams to seamlessly transfer cutting-edge safety frameworks and machine learning algorithms into operational platforms and production pipelines.
• Implement rigorous safety validation, out-of-distribution (OOD) detection, failure mode analysis, and uncertainty estimation methods to ensure robust platform integration.
• Monitor emerging developments in foundation models and safety alignment, representing the organization by presenting at top-tier conferences (e.g., NeurIPS, CVPR, ICLR, ICRA) and publishing high-impact research.
• Provide expert technical counsel to senior leadership to guide strategic R&D; roadmaps, investment decisions, and patent portfolio growth in trustworthy AI.
Requirements
Function: Research
Experience Level: Associate