Senior Research Scientist

Dataminr

. Build and deploy AI models that determine within seconds whether posts across 150 languages signal a real event .

Posted 10/23/2026full-timeUnited StatesSenior💰 $190,000 - $245,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI models, particularly in LLM training and adaptation, while effectively collaborating with cross-functional teams to advance research and technology in critical event response.

Highest-signal resume keywords

Ph.D. In Computer ScienceLLM Training And AdaptationStrong Python And PyTorch FundamentalsHands-On Experience Training Models At ScaleResearch Publications At NeurIPS, ICML, ICLR

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Model DevelopmentMultimodal ModelsAgentic SystemsEvaluation And BenchmarkingTemporal And Streaming ReasoningExperiment DesignPrincipled Metrics

Soft Skills

Cross-Functional CollaborationTechnical GuidanceMentorship Experience

Tools & Technologies

PyTorchVLLMLangfuse

Industry Keywords

AI For GoodNeurIPSICMLICLRACLAAAICOLMCVPR

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Build and deploy AI models that determine within seconds whether posts across 150 languages signal a real event
Advance multimodal and LLM research
Create systems that verify videos from unfolding crises
Develop agents that keep event briefs accurate as facts change
Take research from experiment to production by shipping models into Dataminr products
Develop technology shaping how teams respond to critical events
Partner with engineers, product experts, and domain specialists
Share research through publications, program committee service, and AI for Good collaborations

Requirements

What you’ll need

Ph.D. in Computer Science or a related field
Real depth in one or more areas such as LLM training and adaptation, distillation, evaluation and benchmarking, agentic systems, retrieval and grounding, search, recommendation, multimodal models, or temporal and streaming reasoning
Track record of research demonstrated through publications at venues such as NeurIPS, ICML, ICLR, ACL, AAAI, COLM, or CVPR
Hands-on experience training and adapting models at scale
Strong Python and PyTorch fundamentals
Familiarity with modern training and inference tooling such as vLLM and Langfuse
Ability to design experiments and use principled metrics
Fluency with AI coding and research agents
Ability to own research projects from initial idea through shipped result
Cross-functional technical guidance and mentorship experience

Benefits

Comp & perks

Flexible work arrangements
Generous PTO and sick leave
Competitive benefits package
Employee resource group (ERG) network
Manager development programming
Professional development funds
Annual discretionary bonus