ML Research Scientist Intern – AI Safety, Evaluation, and Agent Security
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仕事内容
Conduct research on LLM evaluation methodologies, adversarial attack generation, and overall model robustness.
Develop techniques to detect hallucinations, policy violations, prompt injection, and agent misalignment.
Design experiments to evaluate AI systems under real-world enterprise constraints.
Contribute to research artifacts, including technical reports, benchmarking frameworks, and potential publications.
Collaborate with engineering teams to translate research into deployable guardrails and runtime protections.
Analyze large-scale model behavior data to identify vulnerabilities and opportunities for improvement.
Develop techniques to detect hallucinations, policy violations, prompt injection, and agent misalignment.
Design experiments to evaluate AI systems under real-world enterprise constraints.
Contribute to research artifacts, including technical reports, benchmarking frameworks, and potential publications.
Collaborate with engineering teams to translate research into deployable guardrails and runtime protections.
Analyze large-scale model behavior data to identify vulnerabilities and opportunities for improvement.
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