Hybrid AI Research Scientist: Real-Time LLMs

Dataminr, Inc.; United States; Hybrid; USD 190,000 - 245,000; Full time

Benefits offered by this job

Annual discretionary bonus

Generous PTO

Job summary

Dataminr is hiring a Senior Research Scientist to tackle real-time threat and risk AI problems. You will train and adapt LLMs, build multimodal and agentic systems that reason over live global data, and push the state of the art into production.

You’ll work with a collaborative team, publish innovations, and shape how our products surface critical insights as events unfold. This is a hybrid role in NYC or Arlington, VA.

Qualifications

• Ph.D. in Computer Science or related field with depth in LLM training/adaptation, distillation, evaluation, or agentic systems.
• Track record of research published in top venues (NeurIPS, ICML, CVPR, etc.).
• Hands-on experience training/adapting models at scale; strong Python/PyTorch fundamentals.

Responsibilities

• Build and deploy AI models that decide within seconds whether a burst of posts signals a real event.
• Advance multimodal and LLM research; create systems that verify real-time events across languages.
• Ship research into Dataminr products with rigor, metrics, and production-grade quality.
• Collaborate with engineers, product teams, and domain experts; mentor junior scientists.

Skills

LLM research

Agentic systems

Python

PyTorch

Multi-modal reasoning

Evaluation/benchmarking

Review & leadership

Education

PhD in Computer Science

Tools

vLLM

Langfuse

Python tooling

PyTorch

Job description

Dataminr is hiring a Senior Research Scientist to tackle real-time threat and risk AI problems. You will train and adapt LLMs, build multimodal and agentic systems that reason over live global data, and push the state of the art into production.

You’ll work with a collaborative team, publish innovations, and shape how our products surface critical insights as events unfold. This is a hybrid role in NYC or Arlington, VA.