Teams at Raydar

Own the production deployment and optimization of machine learning models at high request volumes. Responsibilities include reducing inference latency, improving throughput, profiling GPU code, containerizing models, designing distributed multi-GPU serving systems, and applying quantization, batching, caching, compression, and knowledge-transfer techniques. The role requires strong systems programming, GPU optimization, distributed systems, container orchestration, and production software experience.

Manages a small engineering team delivering a customer-facing product while contributing hands-on code. Responsibilities include technical design, roadmap planning, hiring, coaching, incident response, release reliability, and initiatives involving performance, analytics, experimentation, real-time data syncing, and generative AI workflows.

Lead the strategy and hands-on development of platform-wide design systems, including scalable interaction patterns, UX frameworks, mobile experiences, and AI-driven design-quality tools. Partner with engineers, product managers, and designers to improve design consistency and implementation quality across complex B2B products. Own initiatives from problem identification through prototyping and delivery while maintaining strong visual, interaction, accessibility, and code-adjacent design craft.