cosuno - Principal ML Engineer

• Strong ML & deep learning background: You have 5+ years building, training, and shipping machine learning models — classical ML and deep learning — in production. You're fluent in a modern deep learning framework, ideally PyTorch. • Strong Python: You have 5+ years writing production-grade Python. You write clean, well-structured code. • LLM application depth: You have deep hands-on experience building and deploying LLM/agent systems — RAG, tool use, multi-step reasoning, evals. • Experimentation rigor: You know how to evaluate models properly — offline metrics, online A/B tests — and let the data decide. • TypeScript, React, Node: You're comfortable shipping your work into our web app — backend service, API, and front-end integration. • End-to-end product delivery: You've shipped features (not just models) into a production system and owned the path from research code to real users. • Product mindset: You're comfortable with ambiguity and can judge when something is good enough to ship. • Sharp problem solver: You look at a complex system, quickly identify what matters, and decide what to do next. • Bias for action: When you're unsure something will work, your instinct is to find out with data rather than keep wondering. • Experience building search/ranking/recommendation systems or pricing models • Experience with embedding models, fine-tuning, or model training at scale • Domain exposure to construction, procurement, or marketplaces