Dataminr

Senior Software Engineer, Knowledge Platform

United States

Dataminr Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Requirements

Candidates should possess a Master’s degree in Computer Science or a related field, with a Ph.D. in any field being a plus, and a minimum of five years of software engineering experience. Proficiency in programming languages such as Python, Java, and Scala is required, along with experience in data engineering and ETL pipelines, and familiarity with cloud and distributed systems. Prior experience working with knowledge graphs and AI is considered a plus, as is experience with UI languages and frameworks like React, React Native, TypeScript, and JavaScript.

Responsibilities

As a Senior Software Engineer, you will lead initiatives supporting the development of Dataminr’s Knowledge Platform, develop pipelines and services for building and maintaining the massive-scale knowledge graph, and work with cross-functional teams to develop new capabilities that fuse knowledge and AI for automated alerting at scale. You will also develop solutions for knowledge graph data access and management, including the use of GenAI/LLMs, and apply AI solutions to automate data quality assessments and updates to the knowledge graph, as well as work on applications of AI over the knowledge graph.

Skills

Software Engineering
Data Engineering
AI
Knowledge Graph
AI Solutions
Data Pipelines
Multimodal AI
GenAI/LLMs
Real-time Event Detection
AI Research

Dataminr

Real-time AI for risk detection and alerts

About Dataminr

Dataminr leverages artificial intelligence to detect early signs of significant events and emerging risks from publicly available data in real-time. Its platform provides insights to businesses, public sector organizations, and newsrooms, helping them respond proactively to potential threats and uncover stories before they become mainstream. The technology utilizes deep learning and multi-modal AI fusion to enhance event detection accuracy by analyzing various data types together. Dataminr operates on a business-to-business model and aims to empower organizations to effectively manage risks and respond to high-impact events.

Key Metrics

New York City, New YorkHeadquarters
2009Year Founded
$1,023.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
501-1,000Employees

Risks

Complex maritime environments may challenge Dataminr's integration with Windward's platform.
New CEO Brian Gumbel may introduce strategic shifts disrupting current operations.
ReGenAI's launch may face scrutiny over data privacy and ethical concerns.

Differentiation

Dataminr uses deep learning and multi-modal AI fusion for accurate event detection.
The platform provides real-time alerts from diverse sources, including social media and the dark web.
Dataminr's ReGenAI regenerates textual descriptions in real-time, enhancing AI innovation.

Upsides

Partnership with Windward enhances maritime industry response to complex global events.
Growing cybersecurity importance boosts Dataminr's relevance through Stratascale partnership.
Murali Nemani's appointment as CMO is expected to accelerate market expansion.

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