Teams at hud

Own HUD’s legal operations infrastructure, including intake, contracting workflows, approvals, document management, templates, playbooks, automation, and outside-counsel coordination. Draft, review, and negotiate commercial technology agreements such as MSAs, SOWs, data licenses, SLAs, NDAs, and vendor contracts. Improve legal scalability by standardizing routine work, managing risk, controlling legal spend, and escalating specialized matters appropriately.

Lead HUD's data quality strategy for RL training data: build QC systems, validate synthetic data at scale, design evaluation experiments, partner with researchers and vendors, convert research insights into production validation pipelines and tools, and mentor research engineers.

Build full-stack product surfaces, backend services, APIs, databases, dashboards, internal tools, vendor workflows, and observability for reinforcement learning data and evaluation systems. Develop interfaces for browsing environments, inspecting trajectories, reviewing quality, debugging failures, and understanding model behavior. Partner with research, operations, vendors, and go-to-market teams to translate ambiguous requirements into reliable products. The role also involves production debugging and cloud infrastructure collaboration.