Overview
The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, y
Full job description
The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll focus on fleet simulation — the environment our data teams use to develop, test, and evaluate the algorithms that orchestrate our autonomous fleet (dispatch, routing, and vehicle assignment) and to understand how those algorithms perform before they reach the road.
You’ll piece together the constituent components into a coherent, easy-to-use simulation environment, filling in the gaps, and building generalizable mechanisms so data scientists can measure their algorithm's impact on fleet efficiency. You'll join a diverse, experienced team with rapidly growing scope while working with one of the industry's most valuable autonomous vehicle datasets.
Design, prototype, and help deploy algorithms for vehicle assignment, staging, routing, and pricing Model the inputs to orchestration (rider demand, data-collection value, servicing needs, events, and policies) as objectives and constraints Work with specialists in marketplace economics, forecasting, and autonomy to turn their models into decisions the fleet acts on Measure impact on revenue, utilization, and rider experience through simulation, offline evaluation, and online experiments Contribute to how we evaluate and roll out orchestration improvements
PhD or MS with 2+ years of relevant industry or research experience, in operations research, robotics, controls, transportation, computer science, applied math, or a related field Deep expertise in at least one of: combinatorial/integer optimization, stochastic optimization or control, reinforcement learning/approximate DP, network flows, or marketplace/demand modeling, plus the curiosity to work across the rest Strong coding skills in Python, C++, or Rust; you write clean, tested, version-controlled code Ability to turn ambiguous real-world problems into well-defined models and explain the tradeoffs to non-specialists Good communication and collaboration skills
Internship or research experience in ride-hailing, delivery, logistics, or AV fleets (dispatch, routing, rebalancing, pricing) Algorithms deployed in production or used on real operational data Publications in operations research, transportation, or robotics venues
Tips for this job
Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
JobOpportunity.info helps you discover and organize source listings. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Apply through JobOpportunity →