[Remote] Senior Research Scientist at Dataminr

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Ph.D. in Computer Science or related field
Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc
Outstanding publication record (IEEE, AAAI, NeurIPS, 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 and Hugging Face Transformers
Experience with LLM serving technologies such as vLLM is a plus
Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships)

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, Machine and Deep Learning, Knowledge Graphs
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

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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