研究科学家 - AI安全红队测试

Design and execute original research programs in artificial intelligence, including large-scale language modeling, multimodal learning, reasoning, or related foundational AI areas

Develop and evaluate novel algorithms, architectures, and training methodologies that advance the state of the art in AI research

Implement the most technically challenging components of research systems, ensuring rigor in experimental design, evaluation, and reproducibility

Define research metrics and evaluation frameworks to measure progress against long-term scientific and product objectives

Lead the technical design of research initiatives, including scoping, milestone planning, and cross-functional coordination with engineering and product teams

Translate research findings into scalable systems and production-ready solutions in collaboration with applied engineering teams

Mentor other researchers and engineers on the team, providing technical guidance and supporting their growth in AI research methodology

Communicate research outcomes through internal technical reports, external publications, and presentations at leading AI conferences and workshops

Identify and drive improvements to research infrastructure, tooling, and experimentation workflows to accelerate team-wide research velocity

Contribute to recruiting efforts by evaluating candidates and articulating the team's research vision and strategic priorities

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

8+ years of experience conducting research in artificial intelligence, machine learning, or a closely related field, including industry or academic research settings

Experience leading at least one 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

Demonstrated track record of publishing research at peer-reviewed AI venues such as NeurIPS, ICML, ICLR, ACL, CVPR, or equivalent

Experience communicating complex research findings in writing and presentations to both technical and non-technical audiences

Experience with large-scale distributed training of foundation models, including pretraining, fine-tuning, or reinforcement learning from human feedback

Contributions to open-source AI research frameworks or widely cited work in areas such as multimodal learning, reasoning, generalization, or AI safety

Experience bridging foundational AI research and applied product impact, including collaborating with engineering teams on production systems

PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field, or equivalent research experience

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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

8+ years of experience conducting research in artificial intelligence, machine learning, or a closely related field, including industry or academic research settings.