See yourself at Dataminr
As an AI Research Scientist you’ll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices.
At Dataminr, we are over 600 talented individuals, spanning seven global offices, united by our passion to use AI for the greater good and be agents of positive change in our company and in our communities.

We offer a competitive benefits package aimed at keeping you healthy and happy:

• Comprehensive medical, dental and vision insurance plan options for employees, domestic partners and their dependents
• Generous PTO, flexible sick days and remote working options
• Paid parental leave and family forming benefits
• Mental health benefits and support
• Company equity (RSUs)

At Dataminr, we serve a global community made up of many cultures and strive to reflect the diversity of the world in which we live. We stand for social justice and we lead with empathy. We foster a culture of allyship, standing up for those who face systemic barriers to equality. We actively condemn racism and discrimination in any form.
We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, learning and development funds, and more.

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).

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About Dataminr
Dataminr is a mission-driven AI company that delivers real-time information from 1M+ public data sources, empowering organizations to respond to critical events and emerging risks before they unfold. Founded as an AI company in 2009, Dataminr has the history and tenure in artificial intelligence, and has developed pioneering technology that is redefining the future of real-time information. Recognized as one of the world’s leading AI businesses, recently, Dataminr launched ReGenAI, the first generative AI that automatically regenerates in real-time. Most recently valued at $4.1B, our technology is leveraged by more than two-thirds of the Fortune 50 and half of the Fortune 100 companies who all rely on our AI because we do something that others cannot do.
Watch our CEO Ted Bailey, discuss the Future of Real-Time Information, the breadth of customers who trust Dataminr, and our proprietary ReGenAI technology
here
.
At Dataminr, we are creating a team of talented builders, creators and visionaries to have a real-world impact on how organizations are able to respond to events. We operate all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of client charged with the responsibility to keep organizations running and keep people safe.
The annual base salary range for this position is $148,240 - $218,000. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience.
Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.

• 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)