Design and run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tools, and develop constitutional AI principles and RLHF alignment pipelines to ensure safe AI deployment.
We are searching for an AI Safety Specialist who will play a crucial role in enhancing the security and robustness of language models. You will ensure the safe deployment of AI systems by conducting adversarial testing, implementing protective measures, and aligning AI behavior with ethical principles.
Responsibilities:
- Conduct adversarial testing on LLMs and multimodal agents.
- Implement guardrails and real-time filtering for autonomous tool use.
- Develop constitutional AI principles and assist with RLHF alignment pipelines.
Qualifications:
- Background in cybersecurity, prompt engineering, or adversarial ML.
- Experience with jailbreak taxonomies and automated red-teaming frameworks.
- Strong analytical mindset for identifying edge cases.
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Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
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