PlatformIntelligenceIntern

## In this Role, You Will... Partner with platform, data, and operations teams to scope user pain points and translate them into AI product requirements Design, prototype, and ship working features within the 12-week window — not research artifacts, but tools real users adopt Build retrieval, ranking, and LLM-powered query interfaces that connect to existing internal data sources Develop predictive models (time-series, classification) for key business and operational metrics Instrument usage, measure adoption, and iterate based on real user feedback Document architecture, runbooks, and handoff materials so the work scales beyond your internship ## Requirements Currently pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field Good academic standing Able to commit to a 12-week internship during the following summer 2026 cohort: June 15th - September 4th Ability to relocate to the Bay Area, CA for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox ## Qualifications Strong programming skills in Python; comfort with SQL and at least one cloud data stack Practical experience with LLM APIs, RAG pipelines, embeddings, or fine-tuning Foundation in ML/statistics: regression, classification, time-series forecasting, evaluation methodology Bias for shipping — you measure success by what users actually use, not by what you build ## Bonus Qualifications Experience building chatbots, agents, or natural-language-to-SQL systems Familiarity with data platforms (Snowflake, Databricks, BigQuery) and BI tools (Tableau, Looker) Background in MLOps, model monitoring, or production ML deployment Prior internship or project work delivered to real users ## Additional Information About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem req