AI/ML Engineer at Artemis

Artemis is building the future of AI-driven defense - helping companies detect and defend themselves effectively in an era where AI is fighting AI on the cyber battlefield. We’re backed by First Round Capital, Brightmind, and a group of the cybersecurity industry’s most prominent Operators. Our founders, Shachar (ex-Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have previously built, launched, and scaled cybersecurity products loved and trusted by tens of thousands of customers, and have the customer, technology, and security know-hows to deliver this vision. Our exceptionally strong team includes software engineers, AI researchers, security engineers, and product designers hailing from Google, Abnormal AI, Wiz, Meta, AWS, CERN, SentinelOne, and more. We are growing our team and looking for passionate builders to join us and support our expanding customer base. Job Overview Artemis ingests and analyzes exabytes of streaming data from cloud platforms, identity providers, network logs, and more. We’re building a new, large-scale, AI-native data platform from the ground up – and we’re looking for exceptional AI/ML Engineers to help shape and build it. You’ll work alongside engineers who architected some of the world’s biggest distributed systems. A core part of this effort is using agents as the primary classification and reasoning layer across our platform – enabling us to move beyond static rules and traditional approaches to understand and act on complex security data. This is a high-impact role with significant ownership. You’ll work across critical parts of the system – from LLM-powered classification and detection to large-scale data and analytics infrastructure – depending on your strengths and the problems at hand. You will help define architecture, make key technical decisions, and drive projects from concept through production. This role is for engineers who are comfortable operating in ambiguity, care deeply about quality, and want to build intelligent systems that matter. Responsibilities Own and deliver major ML-driven initiatives – Design, build, and ship end-to-end features and systems that use LLMs to power Artemis’ detection, classification, and analytics. Build and scale LLM-powered systems – Work on services and pipelines that apply LLMs to ingest, process, and classify massive volumes of security telemetry with high reliability and performance. Contribute across the stack – Depending on the problem, this may include LLM pipelines, backend services, APIs, data infrastructure, or user-facing applications. You’re not boxed into a single layer. Make architectural decisions – Evaluate trade-offs across prompting vs fine-tuning, model selection, retrieval strategies, and system design to ensure scalability, accuracy, and cost-efficiency. Bring strong engineering and ML judgment – Balance speed and quality, know when to iterate and when to invest, and raise the bar for model performance, system design, and op