Principal AI Research Cybersecurity Scientist

Alice (Formerly ActiveFence); San Francisco (CA); Presencial; USD 180 000 - 260 000; Tempo integral

Resumo da oferta

Alice (Formerly ActiveFence) seeks a highly technical Principal AI Research Cybersecurity Scientist to drive fast-paced research in frontier AI models, benchmarking, and evaluation. You will move quickly from research questions to prototypes, experiments, and actionable results working with customers and cross-functional teams.

Requirements include a PhD or MSc in CS/AI, strong publication record, and expert Python and PyTorch skills with hands-on experience in LLMs and security-focused AI

Qualificações

• PhD or MSc in CS/AI with strong research credentials.
• Strong publication record at top AI/ML conferences (NeurIPS/ICML/ICLR/ACL).
• Hands-on Python and PyTorch, building and evaluating complex AI systems.
• Proven ability to design, implement, and execute experiments within short cycles.
• Deep understanding of LLMs, foundation models, benchmarking, and evaluation methodologies.
• Experience with frontier AI labs (OpenAI/Anthropic/Google DeepMind) is a plus.

Responsabilidades

• 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.

Conhecimentos

Python

PyTorch

LLMs

Foundation models

Model evaluation

Research cycles

Customer communication

AI security

Formação académica

PhD or MSc in Computer Science/AI

Descrição da oferta de emprego

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.

Key Responsibilities

• 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.

Qualifications

• 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 Qualifications

• Experience with AI for Cybersecurity, including autonomous security agents, vulnerability research, penetration‑testing automation, or security operations.
• Experience with Security of AI, including LLM red teaming, adversarial machine learning, prompt injection, and agentic AI security.
• Familiarity with cybersecurity tools and environments such as CTFs, sandboxed exploitation environments, static/dynamic code analysis, and security testing frameworks.
• Experience developing cybersecurity benchmarks or evaluating frontier models on complex security‑related tasks.