[Remote] Senior Research Scientist (Knowledge Graphs) at Dataminr

United States

Dataminr Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data & AnalyticsIndustries

Requirements

  • Ph.D. in Computer Science or related field
  • Experience in one or more of the following topics: topic detection & tracking, text classification, knowledge extraction/representation/management, machine learning and deep learning, etc
  • Outstanding publication record (IEEE, AAAI, NeurIPS, CVPR, ACL, TACL, EMNLP, WWW, etc.)
  • Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics
  • Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch, Hugging Face Transformers, and LangGraph
  • Experience with LLM serving technologies such as vLLM is a plus

Responsibilities

  • Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing (NLP), Named Entity Recognition (NER), Entity Linking (EL), Entity Alignment (EA), information extraction (IE), knowledge graphs (KG), graph embeddings, link prediction
  • Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products)
  • Contribute to the research community via publications in top tier venues, participation in program committees, etc
  • Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact
  • Productionize and ship research into Dataminr’s products, and thus to its users worldwide
  • Senior candidates are expected to lead technical areas and/or people

Skills

Key technologies and capabilities for this role

Natural Language Processing (NLP)Named Entity Recognition (NER)Entity Linking (EL)Entity Alignment (EA)Information Extraction (IE)Knowledge Graphs (KG)Graph EmbeddingsLink PredictionResearchProblem-SolvingTeam Collaboration

Questions & Answers

Common questions about this position

Is this role remote or office-based?

This role can be remote anywhere in the US or based out of the New York City office.

What is the salary range for this position?

This information is not specified in the job description.

What qualifications and skills are required for this role?

A Ph.D. in Computer Science or related field is required, along with experience in areas like topic detection & tracking, text classification, knowledge extraction/representation/management, machine learning and deep learning, and an outstanding publication record in top venues.

What is the team and work environment like at Dataminr?

You'll work closely with a diverse, interdisciplinary team on challenging AI problems in real-time event detection, with a human-centered focus on context and end-user impact, contributing to products and the research community.

What makes a strong candidate for this Senior Research Scientist role?

Strong candidates have a Ph.D., relevant experience in NLP-related areas like knowledge graphs and machine learning, an outstanding publication record, and the ability to work independently, productionize research, and lead technical areas.

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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