About the role
About 1001 1001 builds AI-powered operational intelligence for the world's most complex, data-heavy environments. We turn fragmented data into a live, unified model of operations and use it to drive better decisions and solve high-stakes problems. Our work sits inside government and large enterprises, in environments defined by critical operations and messy, real-world data. Our engagements start with forward-deployed teams embedded in the customer environment. They work on real data, build quickly, and iterate until the system proves itself, then scale it across the organization. The company is backed by Lux Capital, General Catalyst, CIV, Hanabi, Sanabil, and 9Yards, with angels including Chris Ré, Amjad Masad, Karim Atiyeh, Kareem Amin, and Russell Kaplan. About the role We are looking for a Machine Learning Engineer to build the models and intelligent systems behind 1001's AI products, from experimentation through production. You will work across machine learning, deep learning, applied AI, data, evaluation, and software engineering. This role sits between an Applied AI Engineer and an ML Researcher. You should be comfortable with strong ML fundamentals, developing and adapting models, running rigorous experiments, and turning research ideas into reliable production systems. What you'll work on
Develop, train, fine-tune, and evaluate machine learning and deep learning models. Build solutions using LLMs, multimodal models, agents, and retrieval systems. Formulate ambiguous problems as clear ML tasks with measurable evaluation criteria. Design experiments, baselines, and evaluation frameworks. Analyze model failures and improve performance through data and modeling changes. Ship end-to-end ML features from prototypes to production. Build reliable inference, data, and evaluation pipelines. Apply relevant research and new techniques to practical problems. Diagnose issues across models, data, and software systems. Work closely with researchers, engineers, and product teams to ship measurable outcomes.
Requirements
