Senior Research Scientist

Dataminr•Arlington, NY

4d•Hybrid

About The Position

As a Senior Research Scientist at Dataminr, you will advance AI for real-time threat and risk intelligence, focusing on large language models, generative AI, and agentic systems. You will train and adapt LLMs, build multimodal and agentic systems that reason over live global data, and develop solutions that surface important insights. The role is hybrid and based in Dataminr’s New York City or Arlington, Virginia office. You will build and deploy AI models that determine within seconds whether bursts of posts across 150 languages signal real events, and advance real-time AI research on live global data at scale. You will develop multimodal and LLM systems, including tools that verify crisis videos and agents that keep event briefs accurate as facts change. You will take research from experiments through production and contribute to products used by organizations around the world. You will work with engineers, product experts, and domain specialists, and may share your work through publications, program committee service, and AI for Good collaborations with nonprofit organizations.

Requirements

Ph.D. in Computer Science or a related field.
Deep expertise in one or more areas such as LLM training and adaptation, distillation, evaluation and benchmarking, agentic systems, retrieval and grounding, search, recommendation, multimodal models, or temporal and streaming reasoning.
A record of research that others build on, demonstrated through publications at venues such as NeurIPS, ICML, ICLR, ACL, AAAI, COLM, or CVPR.
Hands-on experience training and adapting models at scale.
Strong Python and PyTorch fundamentals.
Familiarity with modern training and inference tools such as vLLM and Langfuse.
Ability to independently design experiments, choose appropriate metrics, and demonstrate progress.
Fluency with AI coding and research agents and a habit of using them to accelerate work.
Ability to lead research projects from idea to shipped result and bring teammates along.
Cross-functional technical leadership and mentorship skills.

Responsibilities

Build and deploy AI models for detecting real events from real-time data across 150 languages.
Advance research in real-time AI, multimodal systems, LLMs, and agentic systems.
Develop systems that verify videos and agents that keep event briefs accurate as facts change.
Take research from experimentation to production and ship models into Dataminr products.
Partner with engineers, product experts, and domain specialists to deliver value to current and prospective customers.
Share research through publications, program committee service, and AI for Good collaborations with nonprofit organizations.
Own research projects from initial idea through delivery and guide and mentor teammates.