Dataminr puts real-time AI and public data to work for our clients, generating relevant and actionable alerts for global corporations, public sector agencies, newsrooms, and NGOs. Our leading AI platform detects the earliest signals of high-impact events and emerging risks from vast amounts of publicly available information. Our real-time alerts enable tens of thousands of users at hundreds of public and private sector organizations to learn first of breaking events around the world, develop effective risk mitigation strategies, and respond with confidence as crises unfold.
Dataminr is making its mark for growth and innovation, recently earning recognition on the Deloitte Technology Fast 500, Forbes AI 50 and Forbes Cloud 100 lists. We also earned accolades for ‘Most Innovative Use of AI’ from the 2020 AI & Machine Learning Awards.
Join our team and help the world manage risk in real time. You’ll work with 600+ talented people across seven offices, united by our passion to collaborate, make a difference, and have fun while doing it!
At Dataminr, you’ll be working on the hardest problems in AI -- with strong support
from other parts of the organization, including Engineering, Product, and Design.
You’ll have the ability to make a tangible impact and publish your research.
Our scientists have reviewed, organized, and delivered invited talks at top-tier
conferences in AI, such as AAAI, ACL, CHI, CVPR, ICML, NeurIPs, KDD, RecSys, and more.
Our strong, yearlong internship program and collaborations with academia will
help you contribute to the research community.
We’re looking for research scientists and Ph.D. students who have published in
leading conferences and are passionate about making a positive
impact on the world. Ideal candidates will be enthusiastic about working on some of
the most challenging problems in AI and directly contributing to product innovation.
You are very creative, can work independently, and are an excellent collaborator.
2020 has been a year unlike any other—from the initial outbreak of COVID-19, to the effects of the pandemic sweeping across the world, to record-breaking wildfires blazing across the western U.S.—major unanticipated large-scale events have defined 2020. As those in the field of event-detection and AI know, large-scale unexpected events are challenging even for the most advanced AI systems... READ MORE
At Dataminr, we have built the leading real-time AI Platform for detecting global events by processing billions of public data inputs per day in a wide range of formats and from over 75,000 distinct data sources... READ MORE
While engineers at many tech companies get to work on hard AI challenges, few tech companies put the results of this work to use in life-saving ways that are deployed at scale across the world. At Dataminr, my team and I get to work every day on accelerating emergency response -- and this is one of the things that inspires us the most... READ MORE
Unsupervised Detection of Sub-Events in Large Scale Disasters
Multimodal Categorization of Crisis Events in Social Media
AI for Social Good, Harvard CRCS Workshop 2020
Clustering of Social Media Messages for Humanitarian Aid Response during Crisis
The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation
International Conference on Machine Learning AI for Social Good Workshop 2019
Crisis sub-events on social media: A case study of wildfires
Research
• Research Scientist, Computer Vision
• Research Scientist, (Information Retrieval, Complex Networks, Recommender Systems)
Engineering
• Senior Software Engineer, AI Research
• Software Engineer, AI Research
Product
• Senior Product Manager, AI Platform
Internships
• Research Internship - Summer 2021 (NLP, Computer Vision, or Machine Learning)
• Research Internship - Summer 2021 (HCI/UX)
Equal Opportunity Employer
Dataminr is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity and we do not discriminate against any individual on the basis of race, color, ancestry, religion, sex, national or ethnic origin, sexual orientation, age, citizenship, marital status, disability, gender identity, genetic information, or veteran or military status, or any other legally protected characteristic.
