Senior Software Engineer, AI Research

See yourself at Dataminr

As a Senior AI Engineer, you will work closely with our 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. You will work on solving some of the most challenging problems in AI while building large-scale solutions that save lives. In this role, you’ll work closely with multiple teams in the AI Platform organization to deploy Agents and LLMs that improve state-of-the-art performance across multimodal data (text, images, videos, audio, and sensor data), in our very large scale platform (processing billions of inputs per day). You will be expected to continuously learn and expand your knowledge in both AI and Software Engineering, utilizing and improving on the latest tools and techniques for LLM training and adaptation to leverage our large-scale proprietary data, compute and platform infrastructure, and domain expert input. This US-based role can be remote or based out of our New York City office.

AI Innovation at Dataminr 

Working at Dataminr you’ll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold.

Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here.

Agentic AI: we recently launched our Agentic AI capability, what we’re calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what’s happening on the ground. Learn more here

Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here.

The opportunity 

• 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 our 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.

What you bring

At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don’t meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. 

• 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 infra such as LangGraph, LangFuse, and vector stores