Senior Software Engineer, AI Research

As a Senior AI Engineer at Dataminr, you’ll work alongside Research Scientists and Data Scientists to train, adapt, and deploy state-of-the-art LLMs and agents across Predictive, Generative, and Agentic AI. You’ll tackle multimodal data, including text, images, video, audio, and sensor data, on a platform that processes billions of inputs every day, helping organizations act on critical events as they unfold. Expect plenty of room to keep growing in both AI and software engineering. This is a hybrid role with two in-office days each week in our New York City or Arlington, VA office. 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 #LI-BM #LI-Hybrid The annual base salary range for this position is $154,800 - $227,500. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience.