Principal AI Research Cybersecurity Scientist (Bay Area) AI

1752vc; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

1752vc is seeking a highly technical Principal AI Research Cybersecurity Scientist to lead fast-paced frontier AI research, benchmarking, and evaluation.

The ideal candidate translates complex customer challenges into measurable research outcomes, delivering prototypes and actionable results while collaborating with customers and technical stakeholders to drive impact.

Qualifications

• PhD or MSc in Computer Science, AI, ML, or related field with strong research experience.
• Strong publication record at NeurIPS/ICML/ICLR/ACL or equivalent.
• Experience independently designing and running research experiments in short cycles.
• Deep understanding of LLMs and foundation models with benchmarking and evaluation expertise.

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, moving from hypotheses to prototypes and validated findings.
• Identify model limitations, evaluation gaps, and emerging research opportunities.
• Work directly with customers and technical stakeholders to translate challenges into actionable research.
• Collaborate with cross-functional teams to advance research outcomes.

Skills

LLMs

Foundation models

Benchmarking

Evaluation methodologies

Experiment design & execution

Customer-to-research translation

Education

PhD or MSc in Computer Science/AI/ML

Job description

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 A I, we want to hear from you! Found on 1752vc Careers, the job board for startup and VC roles.

• 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‑…
• 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

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...