Principal AI Research Cybersecurity Scientist

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🔴 Lead

🧠 AI Research Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ActiveFence

WebsiteLinkedInAll Job Openings

201 - 500 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

💰 $400M Series B on 2021-07

Cybersecurity • Artificial Intelligence

ActiveFence is a Trust and Safety provider for online platforms, protecting platforms and their users from malicious behavior and content. Trust and Safety teams of all sizes rely on ActiveFence to keep their users safe from the widest spectrum of online harms, unwanted content, and malicious behavior, including child safety and exploitation, disinformation, hate speech, terror, nudity, fraud, and more. We offer a full stack of capabilities with our deep intelligence research, AI-driven harmful content detection, and online content moderation platform. Protecting over three billion users globally everyday in over 100 languages, ActiveFence lets people interact and thrive online.

📋 Description

• 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 with engineering and product teams to turn research findings into practical solutions

🎯 Requirements

• 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 • Strong analytical and communication skills, with the ability to operate effectively in a fast-paced, customer-driven research environment • Preferred: Experience with AI for Cybersecurity, including autonomous security agents, vulnerability research, penetration-testing automation, or security operations • Preferred: Experience with Security of AI, including LLM red teaming, adversarial machine learning, prompt injection, and agentic AI security • Preferred: Familiarity with cybersecurity tools and environments such as CTFs, sandboxed exploitation environments, static/dynamic code analysis, and security testing frameworks • Preferred: Experience developing cybersecurity benchmarks or evaluating frontier models on complex security-related tasks