Research Scientist - AI Safety Red Teaming

What you'll do

• Design and execute AI research programs and develop novel algorithms, architectures, and training methods.
• Lead research initiatives, evaluate results, and translate findings into production-ready solutions with engineering and product teams.
• Publish and present research, mentor teammates, and improve research infrastructure and workflows.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• Experience leading a major AI research initiative from conception through publication or production deployment.
• Experience developing and implementing novel machine learning methods, including deep learning architectures, training at scale, or evaluation methodology.
• Track record of publishing at peer-reviewed AI venues; experience with large-scale distributed training of foundation models.

Nice to have

• Contributions to open-source AI research frameworks or widely cited work in multimodal learning, reasoning, generalization, or AI safety.
• Experience bridging foundational AI research and applied product impact, including collaboration on production systems.

Pay

$184,000/year to $257,000/year (base salary)

Tools

large-scale language modeling, multimodal learning, deep learning, distributed training, foundation models, pretraining, fine-tuning, reinforcement learning from human feedback

AI focus

AI research spanning foundational and applied areas, including AI safety, alignment, language models, multimodal learning, reasoning, and generalization.