Senior Research Scientist, Knowledge Graphs

November 1

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Dataminr

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Artificial Intelligence • Security • Media

Dataminr is a leading real-time AI platform company based in New York, known for providing the earliest alerts on high impact events and critical information. With products like Dataminr Pulse for Corporate Security, First Alert for public safety, and Dataminr for News, it helps organizations respond quickly to crises, manage cyber risks, and break news first. Its services cater to corporate security, cybersecurity, media outlets, and humanitarian organizations, aiding them in staying ahead with real-time information on events, risks, and threats. Dataminr partners can also leverage its AI capabilities to expand their market reach and improve business resilience.

501 - 1000 employees

Founded 2009

🤖 Artificial Intelligence

🔐 Security

📱 Media

💰 Private Equity Round on 2021-10

📋 Description

• 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 (NLP), Named Entity Recognition (NER), Entity Linking (EL), Entity Alignment (EA), information extraction (IE), knowledge graphs (KG), graph embeddings, link prediction. • 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.

🎯 Requirements

• Ph.D. in Computer Science or related field • Experience in one or more of the following topics: topic detection & tracking, text classification, knowledge extraction/representation/management, machine learning and deep learning, etc. • Outstanding publication record (IEEE, AAAI, NeurIPS, CVPR, 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, Hugging Face Transformers, and LangGraph. • Experience with LLM serving technologies such as vLLM is a plus.

🏖️ Benefits

• Flexible work arrangements • Generous PTO and sick leave • Professional development opportunities • Offices all over the world to foster collaboration.