Software Engineer II, Knowledge Platform

See yourself at Dataminr

We are looking for a talented Software Engineer II to join our AI knowledge team. The knowledge team oversees development and operationalization of our multi-million node entity knowledge graph, which powers Dataminr's real-time event detection and alerting platform.
As a Software Engineer II, you will apply your experience in software engineering, data engineering, and AI to shape the future of Dataminr's automated alert generation at massive scale. Working with a diverse group of engineers, data scientists, and AI researchers, you will participate in initiatives related to efficient data extraction, alignment, normalization, and ingestion into our entity knowledge graph. You will develop and apply AI solutions that ensure the recency and quality of the information stored in the knowledge graph. Additionally, you will leverage your expertise in scalable software architectures, cloud native development, and distributed systems to create a robust Knowledge Platform that enables Dataminr's mission of sending real-time alerts that save lives. This US-based role can be remote or based out of our New York City office.

At Dataminr, we are over 600 talented individuals, spanning te 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.

The opportunity 

• Participate in initiatives supporting the development of Dataminr's Knowledge Platform.

• Design and develop pipelines and services for extracting, aligning, normalizing, and ingesting data into a knowledge graph.

• Work with other talented software engineers, data scientists and AI researchers to develop new capabilities that fuse knowledge and AI for automated alerting at scale.

• Develop and apply AI-powered solutions that automate data quality assessments and data updates to the knowledge graph.

• Develop tools and capabilities that simplify knowledge graph data access and management, including the use of LLMs.. 

• Work on AI-focused applications of the knowledge graph that enable essential capabilities like Named Entity Recognition (NER), Entity Linking (EL), and hallucination mitigation (GenAI/LLM).
   

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. 

• 2+ years of software engineering experience, including experience with algorithms, data structures, and software design principles

• Proficiency in programming languages used for data processing and AI, such as Python, Java, Scala, and C/C++

• Solid understanding of core data engineering concepts and workflows including ETL pipelines, data cleansing and normalization, data enrichment, schema design, and data provenance.

• Prior experience working with knowledge graphs is a plus.

• Prior experience with AI is a plus.

• Experience with cloud-native development and distributed systems is a plus.

• M.S. in Computer science. Ph.D. studies in any field is a plus.

#LI-BM

#LI-Remote

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 $108,800 - $160,000. 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.