Contract Student Worker - Data Analyst (Part-time)

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Contract Student Worker Program Zoox's contract student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview As a Data Scientist focused on forecasting, you will help Fleet Operations anticipate the resources required to scale an autonomous vehicle service across markets. You will develop forecasting and scenario-planning capabilities across fleet availability, supply, staffing, operational demand, charging, and infrastructure. Your work will inform high-impact planning decisions and create a shared, data-driven view of future operational needs. Responsibilities Develop forecasting models for fleet availability, supply hours, staffing, operational workload, charging demand, and infrastructure needs Convert spreadsheet-based planning processes into reproducible, scalable, and well-documented analytical workflows Evaluate model performance through backtesting, forecast-versus-actual reporting, and clearly defined accuracy measures Required Qualifications <li

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Contract Student Worker Program Zoox's contract student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who are local to Foster City CA and can start as soon as possible. Role Overview Supporting freeways initiative, particularly in exploring ways to use data external to Zoox to help drive progress. This will include developing software to interface between Zoox's simulation system and external data sources as well as learning about and developing potential use cases across various Zoox teams. Responsibilities Learn how Zoox simulations work. Develop software to build simulations from external data Review resulting simulations, finding issues and driving improvements Required Qualifications Meeting with teams across Zoox to learn their use cases and support their adoption of these tools Software development (C++, python) Ability to use Claude Code to drive progress including but not limited to generating software Interest in working with various teams to learn use cases and drive adoption Program Requirements Currently enrolled in a B.S. or

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview This role focuses on building a data-driven safety risk model that quantifies and improves autonomous-vehicle driving performance, along with the data analysis work that supports it. The student will work within the Safety Strategy & Operations team on a 6-month project spanning model development, empirical experimentation, and large-scale driving/simulation data analysis. Responsibilities Support designing, building, and iterating on a data-driven safety risk model that quantifies driving performance and surfaces safety-relevant signals across the autonomy stack Assist developing and maintaining dataset management pipelines — curation, labeling, versioning, and quality checks — that feed the risk model and downstream analyses Support defining and running empirical experiments that “show it with data” rather than relying on assumptions Required Qualifications <l

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview Support Zoox's Rules of the Road (RotR) program, where a miner + LLM/VLM tooling method automatically mines and triages potential road-rule violation events from simulation and fleet data. The student will be helping create or improve the data miners that generate the candidate events, help develop and evaluate the VLM triagers — curating golden datasets, measuring precision/recall against expert triage, and extending automation to new regulations and data sources. Responsibilities Develop and iterate data miners locating potential RotR Violations following SSO requirements Develop and iterate on VLM/LLM workflows and pipelines for classifying RotR events Curate golden datasets and evaluate triager precision/recall against human triage Required Qualifications Extend triagers from simulation to fleet/service data Strong Python / Pyspark / SQL skills Coursework in machine learning, computer vision, or NLP. Understanding of supervis

About Zoox Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. About Our Part Time Student Worker Program Zoox’s program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects. We seek part time student workers who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission. Project Overview Zoox is seeking a motivated (graduate or upper-level undergraduate) student worker to join our team, focusing on (building and validating a driving risk assessment system, an experimental RAG system for proactively testing autonomous-vehicle behavior) In this role, you will: Design, build, and iterate on an end-to-end RAG pipeline for autonomy validation, owning it from prototype to demo Define and run empirical experiments that "show it with data" rather than relying on assumptions Work through ambiguous, open-ended problems with a researcher's mindset and a bias toward rapid iteration Communicate complex results, trade-offs, and uncertainty clearly to the team and stakeholders Qualifications Currently pursuing a B.S. or M.S. in a relevant quantitative field (Engineering, CS, Physics, Neuroscience, Biology/Computational Bio, or similar) Strong programming skills in Python Solid data manipulation understanding (e.g., SQL, Pyspark, Scala) Solid foundation in machine learning and statistics Comfort operating independently under high uncertainty on open-ended problems Excellent written and ver

About Zoox Zoox is an autonomous ride-hailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview This role requires supporting the end-to-end validation pipeline for AI tools: maintaining test datasets, running benchmarks, and measuring agent accuracy across routing decisions, classification labels, and structured output fields. Responsibilities Run and maintain the benchmark pipeline, analyzing results to identify routing errors and regressions across agent variants Build and expand ground truth datasets used to evaluate agent outputs against known-correct answers Identify and address gaps in benchmark validation and support building a more comprehensive evaluation infrastructure to improve validation prior to release Develop new evaluation dimensions such as label accuracy and structured output correctness beyond the existing team classification benchmarks Investigate failure modes in agent outputs and work with engineers to surface actionable improvements Write scripts and tooling to automate data collection, result parsing, and metric repo