Research Scientist Ii

Description:

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.

Regenerative AI: 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.

Agentic AI: 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

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

The opportunity
 

• Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning.
• Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products).
• Contribute to the research community via publications in top tier venues, participation in program committees, etc.
• Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact.
• Productionize and ship research into Dataminr’s products, and thus to its users worldwide.
• Senior candidates are expected to lead technical areas and/or people.
   

What You Bring

At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don’t meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed.
 

• Ph.D. in Computer Science or related field
• Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc.
• Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.).
• Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics.
• Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus.
• Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships).