Staff Machine Learning / Operations Research Engineer
Core
Define and build the intelligence at the core of Dispatch OS, setting technical direction for pricing, selection, forecasting, and routing of deliveries.
Role type
Staff Machine Learning / Operations Research Engineer
Builds
ML-assisted dispatch decisions platform (Dispatch OS) for logistics and delivery
Domain
Logistics, delivery, and transportation
Deliverable
production ML models
Required skills
Technical leadership in ML and optimization, architecture design for model serving and optimization, solving complex modeling and optimization problems, strategic partnership with product and leadership, dynamic pricing and quote selection modeling, demand and volume forecasting, solver-based optimization (LP/MIP/VRP), LLM and AI agent application, rigorous evaluation framework design, constraint translation for operational data, MLOps pipeline ownership
Preferred skills
Experience with delivery/dispatch software or TMS platforms, commercial or open-source solvers (OR-Tools, Gurobi, CPLEX), pricing or revenue management in aviation/fleet/transportation, published work or patents in ML/OR/pricing
Technologies
OR-Tools, Gurobi, CPLEX, LLMs, AI agents
Responsibilities
Own the ML and optimization roadmap for Dispatch OS, design end-to-end architecture for model serving and optimization, lead high-stakes modeling and optimization problems from framing to production, set standards for experimentation and production ML, work with Product and leadership to shape product strategy, design and ship models for quote selection and dynamic pricing, build demand and volume forecasting models, move dispatch decisions to solver-based optimization, apply LLMs and AI agents to dispatch workflows, build rigorous evaluation frameworks, translate operational constraints into model requirements, design and own automated MLOps pipelines
Seniority
Staff, hands-on IC with company-level impact
