Who we are:
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.
Duties
Design, develop, and maintain full-stack AI-driven web applications and microservices using Python, Java, and React, delivering both high-quality prototype systems and production-ready applications that meet performance and reliability standards.
Build, deploy, and optimize RESTful API backend services using FastAPI and Flask frameworks; implement and consume APIs across distributed application layers to support real-time document processing and large-scale data pipelines.
Develop and maintain frontend user interfaces using React, including researcher dashboards, administrative consoles, and data visualization components, applying user interaction best practices.
Integrate large language model (LLM) APIs and retrieval-augmented generation (RAG) pipelines — including prompt engineering, cost optimization, hallucination heuristics, and output evaluation — into production software systems to enable intelligent document processing, semantic search, and automated generation capabilities.
Design and implement data storage, retrieval, and management solutions using relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB); manage document-scale data operations and data integrity across large corporations.
Deploy, manage, and monitor containerized microservice applications on AWS cloud infrastructure using Docker, applying scalability and operational efficiency best practices across development and production environments.
Collaborate with AI researchers, product managers, designers, and cross-functional engineering teams to design and implement human-AI workflow tools and applied AI research products, owning end-to-end development of key platform components.
Requirements
This position requires a Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Technology, or a closely related field and 3 years of experience in using full-stack AI software development, including AI frameworks, backend API development and frontend development using modern web frameworks.
Must also have each of the following:
Demonstrated experience working with Python for backend development, data processing, and machine learning or NLP workflow implementation.
Demonstrated experience with developing backend service with Java or equivalent object-oriented programming language.
3 years of demonstrated frontend development experience with JavaScript, of which 2 years must be in React, including component design and integration with REST APIs.
2 years of demonstrated experience working in backend framework with FastAPI and/or Flask for building and deploying RESTful web services.
2 years of demonstrated experience designing, implementing, and consuming RESTful APIs across distributed application architectures.
3 years of demonstrated experience working with relational database systems (PostgreSQL and/or MySQL) and NoSQL databases (MongoDB) for structured and unstructured data management.
Demonstrated experience implementing search and information retrieval solutions using Elasticsearch.
2 years of demonstrated experience integrating LLM APIs and RAG pipeline frameworks, including Langchain, into production AI applications.
Demonstrated experience working with NLP techniques including named entity recognition (NER), text classification, and topic modeling, using libraries such as NLTK, SpaCy, or Scikit-Learn.
2 years of demonstrated experience working and collaborating with AI researchers to develop and deploy AI models into production systems.
Demonstrated experience containerizing and deploying applications using Docker on AWS cloud infrastructure, including AWS S3.
Employer will accept experience gained concurrently.
Salary: $137,717 to $160,000/year.
Full-time, position located in New York, NY.
Please apply online at www.dataminr.com.
Why you should work here:
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)
As a global company, we hire talented, unique individuals of many backgrounds and life experiences, who are encouraged to be their authentic selves—and who support their team members to do the same. We strive to reflect the world and clients we serve, with a workforce built on merit and equity.
We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. We actively condemn racism and discrimination in any form.
At Dataminr, we value you for who you are. 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.
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.
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Skills Required
- Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Technology, or a closely related field
- 3 years of experience in full-stack AI software development, including AI frameworks, backend API development, and frontend development with modern web frameworks
- Experience with Python for backend development, data processing, and machine learning or NLP workflow implementation
- Experience developing backend services with Java or an equivalent object-oriented programming language
- 3 years of frontend development experience with JavaScript, including 2 years with React
- 2 years of experience with FastAPI and/or Flask for building and deploying RESTful web services
- 2 years of experience designing, implementing, and consuming RESTful APIs across distributed application architectures
- 3 years of experience with relational databases such as PostgreSQL and/or MySQL and NoSQL databases such as MongoDB
- Experience implementing search and information retrieval solutions using Elasticsearch
- 2 years of experience integrating LLM APIs and RAG pipeline frameworks, including LangChain, into production AI applications
- Experience with NLP techniques including named entity recognition, text classification, and topic modeling using NLTK, spaCy, or Scikit-learn
- 2 years of experience collaborating with AI researchers to develop and deploy AI models into production systems
- Experience containerizing and deploying applications with Docker on AWS, including AWS S3
- Employer will accept experience gained concurrently
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What We Do
Dataminr -- long recognized as one of the world’s leading artificial intelligence (AI) startups -- puts real-time AI and public data to work for our customers, generating relevant and actionable alerts for thousands of users working in more than 100 countries for hundreds of client organizations--spanning global corporations, public sector agencies, NGOs, and newsrooms. As 2020 taught us, the unexpected can occur anywhere, at any time, radically affecting the health and safety of people and business operations. Real-time data is crucial for enhancing organizational agility, sustaining business continuity, and responding with speed and confidence. This is especially true as the landscape of public data sources expands and diversifies, spanning social media, information sensors, blogs, and the deep web. Dataminr processes billions of data units daily from 100,000+ public information sources in 100+ languages and in multiple formats -- including text, images, video, sound, and public sensor data. We use many different AI/ML techniques and methods such as natural language processing, understanding, and generation; computer vision; audio processing and classification, and anomaly detection on machine-generated data streams. Dataminr continuously trains its AI models on an accumulated 10-year archive of trillions of public data units and over 100 million critical local, national and global events while the company’s numerous AI models are all built, trained, and continuously updated by a team of data scientists, engineers, and researchers. In alignment with our belief that AI and real-time data should be a force for good, we forged a partnership with the United Nations in 2019, at the AI for Good Summit in Geneva. The partnership equips thousands of UN personnel with Dataminr’s First Alert. The initiative boosts the UN’s utilization of cutting-edge technology and provides their agencies and personnel with the earliest possible indications of emerging crises, accelerating humanitarian response efforts around the world. Since 2009, Dataminr has brought to market products that our clients find essential to make better-informed decisions, and effectively respond with speed and confidence to risks and opportunities.
Why Work With Us
At Dataminr, we’ve fostered a people-first culture. Seeing the incredible impact of our customers ‘knowing first, and acting faster’ is the main reason why over 90% of our employees said that they're proud to work at Dataminr. Join the team and help the world manage risk in real-time along with 1,000+ talented people across seven offices!
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