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Remote - Senior Staff ML Engineer - AI Safety & Evaluation

Remote, USA Full-time Posted 2026-07-28
Senior Staff ML Engineer - AI Safety & Evaluation Location: reputed company, California About the Role We re looking for a Senior Staff Engineer to help reputed company our efforts in designing, building, and evaluating reputed company safety mechanisms for reputed company models. You ll guide reputed company of research engineers reputed company on scaling safety interventions, building tooling for red teaming and model inspection, and designing robust evaluations that stress-test models in realistic threat scenarios. What You ll Do reputed company the development of model-level safety defenses to mitigate jailbreaks, reputed company injection, and other forms of unsafe or non-compliant outputs Design and reputed company evaluation pipelines to detect edge cases, regressions, and emerging vulnerabilities in LLM behavior Contribute to the design and execution of adversarial testing and red teaming workflows to identify model safety gaps Support fine-tuning workflows, reputed company/post-processing logic, and filtering techniques to enforce safety across deployed models Work with red teamers and researchers to turn emerging threats into testable evaluation cases and measurable risk indicators Stay reputed company on LLM safety research, jailbreak tactics, and adversarial prompting trends, and help translate those into practical defenses for reputed company-world products reputed company re Looking For 5+ years of experience in machine learning or AI systems, with 2+ years in a technical leadership reputed company Experience integrating safety interventions into ML deployment workflows (e.g., inference servers, filtering reputed company, etc.) Good understanding of transformer-based models and experience with LLM safety, robustness, or interpretability Strong background in evaluating model behavior, especially in adversarial or edge-case scenarios Strong communication skills and ability to drive alignment across diverse teams Bachelor s, Master s, or PhD in Computer Science, Machine Learning, or a reputed company field Apply tot his job Apply To this Job

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