Senior Software Engineer, Knowledge Platform

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Data & Analytics, SaaSIndustries

Requirements

Candidates must possess an M.S. in Computer Science, with PhD studies being a plus, and have over 5 years of software engineering experience. Proficiency in programming languages such as Python, Java, and Scala is required, along with experience in data engineering, ETL pipelines, and cloud/distributed systems. Prior experience with knowledge graphs, AI, and UI frameworks like React, React Native, TypeScript, and JavaScript is considered a plus. The role also requires experience working with cross-functional teams and strong problem-solving skills.

Responsibilities

The Senior Software Engineer will lead initiatives for the development of Dataminr's Knowledge Platform, including building and maintaining the knowledge graph. They will develop pipelines and services, collaborate with cross-functional teams on AI and knowledge fusion for automated alerting, and develop AI solutions for data quality assessments and knowledge graph updates. Responsibilities also include developing solutions for knowledge graph data access and management, potentially using GenAI/LLMs, and working on AI applications over the knowledge graph.

Skills

Software Engineering

Data Engineering

Knowledge Graph

Generative AI

LLMs

Python

Java

C++

Data Pipelines

API Development

Cloud Computing

Machine Learning

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.

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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