SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Spectrum Labs (operating as Alice) is seeking a Principal AI Research Cybersecurity Scientist to lead hands-on research in frontier AI models, benchmarking, and evaluation. This is a technical, individual-contributor role focused on driving fast-paced research cycles that move rapidly from identifying research questions to building prototypes, running experiments, and delivering actionable results.
You will conduct hands-on research in frontier AI models, reasoning systems, agents, and multimodal systems. Key responsibilities include designing and implementing AI benchmarks and evaluation frameworks, executing short high-impact research cycles, identifying model limitations and evaluation gaps, and working directly with customers and technical stakeholders to translate complex challenges into measurable research outcomes. You will collaborate with engineering and product teams to turn research findings into practical solutions.
The ideal candidate combines exceptional research credentials with strong engineering capabilities and a proven track record of executing rapid research cycles. You should have deep expertise in large language models, foundation models, reasoning, agents, and model evaluation methodologies.
Alice is a trust, safety, and security company built for the AI era, providing end-to-end coverage across the AI lifecycle. The company supports frontier model labs, enterprises, and user-generated content platforms with solutions ranging from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and drift detection.
REQUIREMENTS:
- PhD or MSc in Computer Science, AI, Machine Learning, or related field with strong relevant research experience
- Strong publication record at leading AI/ML conferences (NeurIPS, ICML, ICLR, ACL, or equivalent)
- Exceptional hands-on technical capabilities: 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
- Strong analytical and communication skills, ability to operate effectively in fast-paced, customer-driven research environment
PREFERRED QUALIFICATIONS:
- Experience with frontier AI labs (OpenAI, Anthropic, Google DeepMind)
- AI for Cybersecurity experience: autonomous security agents, vulnerability research, penetration-testing automation, security operations
- Security of AI expertise: LLM red teaming, adversarial machine learning, prompt injection, agentic AI security
- Familiarity with cybersecurity tools and environments (CTFs, sandboxed exploitation, static/dynamic code analysis, security testing frameworks)
- Experience developing cybersecurity benchmarks or evaluating frontier models on complex security-related tasks
