Pragmatike - Head of Machine Learning (New York)

• $300K – $400K • 0.5% – 1.5% • Location: New York, NYStart date: ASAPLanguages: English (required) • Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. • Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. • We are looking for a Head of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. • Head of Machine Learning • There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. • This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. • What Youll Do • Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. • Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. • Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. • Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. • Partner closely with product and backend engineers to integrate ML into customer-facing systems. • Write production-quality code within the existing codebase and contribute to architectural decisions. • Over time, help recruit, mentor, and lead the ML team as the function expands. • What Were Looking For • 8+ years of experience building ML systems in production environments. • Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. • Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. • Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). • Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. • Comfortable working across the stack — infrastructure, backend systems, and data platforms. • Demonstrated ability to mentor engineers and elevate technical standards within a team. • High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. • Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. • Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. • Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. • Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. • Leadership path: Opportunity to evolve into Head of ML as the organization scales. • Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. • Health, Dental, and Vision • Hybrid flexibility