Secure the AI apps and agents you build and deploy with red teaming and runtime guardrails powered by real-world adversarial data. Backed by Norwest and CRV.
About the role
The role requires deep expertise in LLMs, foundation models, reasoning, agents, and model evaluation, alongside the ability to translate complex customer challenges into measurable research outcomes. If you're creative and driven to secure the future of AI, we want to hear from you! Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD or MSc in Computer Science, AI, Machine Learning, or a related field, with strong relevant research experience
- Strong publication record at leading AI/ML conferences such as NeurIPS, ICML, ICLR, ACL, or equivalent venues
- Exceptional hands-on technical capabilities, including advanced Python, PyTorch, and experience building and evaluating complex AI systems
- Proven ability to independently design, implement, and execute research experiments within short development cycles
- Deep understanding of LLMs, foundation models, benchmarking, and evaluation methodologies
- Experience with frontier AI labs such as OpenAI, Anthropic, or Google DeepMind is a strong advantage
More about this role
We are seeking a highly technical, hands-on Principal AI Research Cybersecurity Scientist to drive fast-paced research in frontier AI models, benchmarking, and evaluation.
The ideal candidate combines strong research credentials with exceptional engineering capabilities and a proven ability to execute rapid research cycles, moving quickly from identifying research questions to building prototypes, running experiments, and delivering actionable results.
The role requires deep expertise in LLMs, foundation models, reasoning, agents, and model evaluation, alongside the ability to translate complex customer challenges into measurable research outcomes.
- Conduct hands-on research in frontier AI models, reasoning, agents, and multimodal systems.
- Design, implement, and iterate on AI benchmarks, evaluation frameworks, and experimental pipelines.
- Execute short, high-impact research cycles, rapidly moving from hypotheses to experiments, prototypes, and validated findings.
- Identify model limitations, evaluation gaps, and emerging research opportunities.
- Work directly with customers and technical stakeholders to translate complex challenges into actionable research.
- Collaborate...
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