HarveyNew York, NYBuild and optimize AI agents for legal workflows at Harvey. Design environments, actions, evaluations, tools, and infrastructure for high-performance domain-specific agents using LLMs.
Builds AI agent systems for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evaluations. Partners with customers/PMs to ship low-latency agents using Python and LLM APIs; requires 8+ years experience.
Build core AI platform infrastructure at Harvey including model routing, context engineering, agent infrastructure, and shared evaluation frameworks that power all agentic legal AI products. Requires 8+ years backend experience with 1+ year AI/ML focus and track record of technical leadership.
Senior Staff Engineer serving as primary interface between perception software and flight test teams. Owns integration, sensor calibration, fly-fix-fly cycles, and data curation to mature autonomy capabilities from algorithm to flight-verified systems on UAS and aircraft platforms. Requires 10+ years experience, strong perception background, and hands-on field testing expertise.
Senior Staff Engineer developing state-of-the-art discrete optimization algorithms for task allocation, scheduling, and mission planning of heterogeneous autonomous vehicle teams. Requires PhD/Master's in Optimization or Operations Research, deep expertise in integer programming and solvers, and strong C++ implementation skills.
Technical leader for Reddit's Notifications Relevance ML systems, driving large-scale recommendation systems spanning retrieval, ranking, budget optimization, and LLM-powered experiences.