Senior Software Engineer, AI Research
Senior AI Engineer at Dataminr trains, adapts, and deploys LLMs and agentic AI in production, owning LLMOps infrastructure (API services, containers) and optimizing training/inference performance for a real-time event-detection platform processing billions of multimodal inputs daily. Hybrid role: two in-office days weekly in New York City or Arlington, VA.
- Compensation
- $154.8K–$227.5K / yr
- Location
- Arlington, United States
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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 NLP, Computer Vision, Knowledge Representation and Management, Vector Datab
- Expertise in Python
- Experience with Containers, Kubernetes, AWS, Databricks, and Agentic infra such as LangGraph, LangFuse, and vector stores
Full description
See yourself at Dataminr
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.
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.