Member of Technical Staff - Multimodal Safety - MAI Super Intelligence Team
About The Position
Leverage expertise in multimodal safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques and robustness improvements for multimodal large language models. The ideal candidate has experience with diffusion models and image, video, or audio generation. Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety pipelines and intervention systems. Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on multimodal safety matters. Track advances in multimodal safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. Embody our culture and values.
Requirements
- Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
- Proven expertise in multimodal LLM safety with experience in diffusion models and generative image/video/audio.
- Track record building evaluation frameworks, automated red‑teaming, and reusable guardrail systems for safety at scale.
- Experience in safety pipelines and user‑validated safety decisions across product teams.
Responsibilities
- Uncover potential risks and develop novel mitigation strategies for multimodal safety.
- Create and implement comprehensive evaluation frameworks and red-teaming methodologies.
- Build automated safety testing systems and generalize safety solutions into repeatable frameworks.
- Write efficient code for safety pipelines and intervention systems.
- Maintain a user-oriented perspective by understanding safety needs from user perspectives.
- Track advances in multimodal safety research and adapt safety algorithms to drive innovation.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
