Teams at Raydar

Designs, builds, secures, and operates portable production infrastructure for AI-driven software across public clouds. Owns cloud environments, Kubernetes orchestration, Terraform-based infrastructure, CI/CD pipelines, monitoring, reliability, and deployment automation. Develops internal self-service tooling to eliminate repetitive operational work and coordinates with application and platform teams. Requires cloud or AI infrastructure experience, high-performance computing knowledge, major cloud platform experience, and ArgoCD or FluxCD deployment expertise.

Conduct applied machine learning research on language models, translating client workflows and model limitations into research questions, datasets, evaluations, experiments, and production-ready models. Develop reward functions and automated checkers, run fine-tuning and reinforcement learning experiments, analyze failures through ablation and held-out testing, and collaborate with researchers and infrastructure engineers to deploy successful models. The role also involves client collaboration, technical judgment, and potentially mentoring junior team members.

Develop and manage the company’s content strategy across social, newsletters, blogs, websites, case studies, thought leadership, announcements, video scripts, and sales enablement. Translate leadership insights into accessible technical content, create customer stories, improve search visibility, and establish AI-assisted workflows for research, drafting, repurposing, and reporting.