Machine Learning Engineer (Modat)

Why we existThe internet is vast, constantly shifting, and increasingly hostile. At Modat, we map its entirety on a daily basis. We are an internet scanning platform that visits every IPv4 address every single day, collecting a massive, contextual data lake of what devices are exposed and what infrastructure is being built.We use this data to identify malicious infrastructure before it is actively used in attacks. By spotting the patterns in how bad actors set up their operations, we provide predictive threat intelligence to some of the world's most critical organizations. Our clients include top-tier threat intel companies, major financial institutions, S&P 500 companies and national government agencies (CERTs/CSEs) protecting critical infrastructure.We are a well-funded, fast-growing startup (~15 people) approaching €1M ARR, backed by over €3M in pre-seed funding with a larger round on the horizon.What we’re buildingOur team has developed predictive models of maliciousness based on years of academic research and our proprietary data lake. Now, we are taking these models from research into production at scale.The cybersecurity landscape is moving toward agentic AI. Our clients (SOCs, SIEMs, and MSSPs) are increasingly deploying autonomous agents for threat hunting. We are building the data layer and our own specialized agents that will interface directly with our clients' agents, making our intelligence repository accessible and actionable for AI-driven security operations.RequirementsThe roleYou will join our core engineering team to build and ship machine learning systems across the full lifecycle, from data to deployment. Expect to:Incorporate internally trained LLMs into specific workflows.Create and implement ML models for batch and real-time applications.Develop algorithms for offensive and defensive security measures.Query, integrate, analyze, and preprocess datasets to extract features and insights.Monitor deployed models, evaluate performance using statistical techniques, and refine based on feedback.Design and implement pipelines for continuous training, evaluation, and deployment against a massive, daily-updating data lake.Develop APIs and agents that allow our clients' AI systems to query and interact with our threat intelligence data.Contribute to code reviews, testing, and documentation to keep quality high.Work closely with our founders and engineering team to align models with real product and client needs.Stay up to date with the latest advancements in machine learning and apply new techniques as appropriate.Job requirementsWe don't hire for checklists. We are looking for builders who thrive in early-stage environments and want to tackle genuinely hard data problems. For all our candidates, we expect the following requirements:A degree in Computer Science, Engineering, Mathematics, or a related field.Proven experience as an ML Engineer or Data Scientist (preferably in cybersecurity).Proficiency in Python and at least one other language (Java, C++, or similar).Solid understanding of linear algebra, calculus, probability, and statistics.Experience with ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn, HuggingFace, LangChain).Proven track record delivering ML/AI products or publishing research.Collaborative problem solver comfortable iterating quickly in a fast-paced startup.Strong communication and teamwork skills.Nice to havesFamiliarity with CI/CD systems (GitHub Actions, Jenkins).Familiarity with big data processing frameworks (Apache Spark, Hadoop).Experience with MLOps tooling and model deployment pipelines at scale.Background in cybersecurity, threat intelligence, or offensive/defensive security research.Hands-on experience integrating LLMs, working with agents, or building systems designed for AI consumption.Experience in an agile environment.This is a hybrid or remote. We work primarily in the Central European time zone and expect candidates to be within ±3 hours of CET to keep alignment and syncs tight.Why join Modat?Most cybersecurity companies react to threats after they happen. At Modat, you will help build systems that predict them before they strike, working with one of the richest internet-scale datasets in existence. You will join a small, technically ambitious team where your work has an outsized impact: the models you ship will protect financial institutions, governments, and critical infrastructure worldwide. We are early-stage and growing fast, which means real ownership, direct collaboration with our founders, and the chance to shape how our ML and AI capabilities evolve from the ground up.HighlightsOriginally posted on Himalayas