Principal Software Engineer, Knowledge Platform

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Data & Analytics, Real-time Event DetectionIndustries

Requirements

Candidates should have an M.S. in Computer Science, with a Ph.D. in any field being a plus. A minimum of 10 years of software engineering experience is required, along with a proven track record of implementing strong engineering practices through hands-on coding. Proficiency in programming languages such as Python, Java, and Scala is necessary, as is experience with data engineering, ETL pipelines, and cloud/distributed systems. Prior experience working with knowledge graphs is considered a plus. The role also requires experience mentoring and influencing engineering team members.

Responsibilities

The Principal Software Engineer will lead multi-team initiatives for the Knowledge Platform, implementing best practices and new technologies to improve the codebase and product. Responsibilities include developing pipelines and services for a large-scale knowledge graph, collaborating with cross-functional teams on AI and knowledge fusion for automated alerting, and developing AI solutions for data quality assessment and knowledge graph updates. The engineer will also work on knowledge graph data access and management solutions, including the use of GenAI/LLMs, and on applications of AI over the knowledge graph.

Skills

Software Engineering

Data Engineering

Knowledge Graph

Real-time Event Detection

Generative AI

Agentic AI

Multimodal AI

Data Quality Assessment

Pipeline Development

Service Development

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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