Senior Research Scientist

As a Senior Research Scientist at Dataminr, you will tackle some of the toughest AI problems in real time threat and risk intelligence, advancing the state of the art in large language models, generative AI, and agentic systems while seeing your work go straight into products. You will train and adapt LLMs, build multimodal and agentic systems that reason over live global data, and develop innovative solutions that surface the insights that matter most.

You will do it alongside a collaborative team that cares about meaningful work. This is a hybrid role based in our New York City or Arlington, VA office.

Working at Dataminr you’ll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold.

our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here.

we recently launched our Agentic AI capability, what we’re calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what’s happening on the ground. Learn more here.

our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here.

• Build and deploy AI models that decide within seconds whether a burst of posts across 150 languages signals a real event, and push the state of the art in real time AI on live global data at massive scale.
• Advance multimodal and LLM research by creating systems that can verify a video from an unfolding crisis and agents that keep a brief accurate as facts change minute by minute.
• Take your research from experiment to production, shipping models into Dataminr products used by organizations around the world.
• See your work shape how teams everywhere respond to critical events as they unfold, where rigor, speed, and good judgment all matter.
• Partner with a diverse, interdisciplinary group of engineers, product experts, and domain specialists to deliver value for existing and new customers.
• Share your work with the wider community through publications in top tier venues, program committee service, and AI for Good collaborations with nonprofit organizations.

• Ph.D. in Computer Science or a related field, with real depth 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.
• Track record of research that others build on, shown through publications at venues like NeurIPS, ICML, ICLR, ACL, AAAI, COLM, or CVPR.
• Hands-on experience training and adapting models at scale, backed by strong Python and PyTorch fundamentals.
• Comfort with modern training and inference tooling such as vLLM and Langfuse, so you can move from idea to a working system quickly.
• Independence to design experiments, chart your own path, and show progress through principled, well‑chosen metrics.
• Fluency with AI coding and research agents, and a habit of using them to speed up your own work.
• Ability to own research projects from first idea to shipped result, and to bring teammates along as you go.
• Leadership streak that shows up as cross‑functional technical guidance and mentorship, helping other scientists grow and do their best work.

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At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how…