[Remote] Senior Software Engineer, AI Research at Dataminr

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

M.S. in Computer Science or equivalent experience
5+ years of experience as a Research or Machine Learning Engineer
MLOps/LLMOps experience: building, optimizing, deploying, and operating Deep Learning models using PyTorch, including Transformers and LLMs (not just using APIs)
Experience working with Research Scientists, reading technical research papers, and implementing state-of-the-art methods in Natural Language Processing, Computer Vision, Knowledge Representation and Management, Vector Databases, and Generative AI
Expertise in Python
Experience with Containers, Kubernetes, AWS, Databricks, and Agentic infrastructure such as LangGraph, LangFuse, and vector stores

Responsibilities

Work closely with Research Scientists and Data Scientists to train, build, adapt, optimize, and deploy state-of-the-art LLMs in Predictive AI, Generative AI, and Agentic AI applications
Deploy Agents and LLMs that improve state-of-the-art performance across multimodal data (text, images, videos, audio, and sensor data) in a very large-scale platform processing billions of inputs per day
Continuously learn and expand knowledge in AI and Software Engineering, utilizing and improving the latest tools and techniques for LLM training and adaptation leveraging large-scale proprietary data, compute, platform infrastructure, and domain expert input
Work with groups of Research Scientists, Engineers, and Data Scientists in the AI Platform organization and beyond to deploy, build, adapt, optimize, and deploy LLM models in production at very large scale
Own the technical design and implementation of robust API services, libraries, and container strategies that define and support the end-to-end LLMOps lifecycle
Optimize DL/LLM training and inference performance (speed/cost) on specialized hardware
Drive the full lifecycle of complex AI problems: from initial research and literature review to hands-on data exploration, implementation of novel in-house methods, and successful productization

Skills

Key technologies and capabilities for this role

LLMsPredictive AIGenerative AIAgentic AIMultimodal AIAI TrainingModel OptimizationModel DeploymentPythonMachine Learning

Questions & Answers

Common questions about this position

Is this role remote or office-based?

This US-based role can be remote or based out of our New York City office.

What is the salary range for this position?

This information is not specified in the job description.

What qualifications and experience are required for this role?

Candidates need an M.S. in Computer Science or equivalent experience, plus 5+ years as a Research or Machine Learning Engineer with MLOps/LLMOps experience in building, optimizing, and deploying models.

What is the team structure like for this position?

You will work closely with groups of Research Scientists, Engineers, and Data Scientists in the AI Platform organization and beyond.

What makes a strong candidate for this role?

Dataminr encourages applications even if you don’t meet every qualification, reviewing candidates based on skill and potential to succeed, particularly those with experience in AI research, MLOps, and large-scale deployments.

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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