Staff Machine Learning / Operations Research Engineer

Description du poste

We’re hiring a Staff ML/OR engineer to define and build the intelligence at the core of Dispatch OS, our platform for ML-assisted dispatch decisions You’ll set the technical direction for how Burq prices, selects, forecasts, and routes deliveries, and you’ll personally build the highest-leverage models and optimization systems behind it You’ll own the architecture and roadmap for ML and optimization across the platform, make the key technical bets, and raise the bar for how we build, evaluate, and ship models This is a hands-on IC role with company-level impact on revenue, margin, and delivery reliability Technical leadership: Technical direction: own the ML and optimization roadmap for Dispatch OS, deciding which problems get ML, which get solvers, which stay heuristic, and in what order Architecture: design the end-to-end architecture for model serving, evaluation, and optimization so it scales with order volume, new providers, and new customers Hardest problems: lead the most ambiguous, high-stakes modeling and optimization problems from framing through production, and guide technical work across Engineering and Data Raise the bar: set standards for experimentation, evaluation, and production ML, and mentor engineers through design reviews, pairing, and code review Strategic partnership: work with Product and leadership to shape product strategy and identify where ML and OR create competitive advantage Core systems: Quote selection and pricing: design and ship models for quote selection, dynamic pricing, and reliability scoring that measurably improve margin, win rate, and conversion Forecasting: build demand and volume forecasting models, including modern deep learning approaches where they outperform classical methods, to - help operations and customers plan driver and fleet capacity Optimization: move dispatch decisions from heuristics to solver-based optimization for batching, route optimization, and vehicle/fleet recommendation, using OR-Tools,

Annonce publiée sur Welcome to the Jungle et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.