Platform Intelligence Intern at Zoox in Foster City, CA

Summary: Zoox is transforming mobility with fully autonomous electric vehicles. They are seeking a Platform Intelligence Intern to design and deliver AI products that enhance internal operations by consolidating data and providing predictive insights. Responsibilities: - 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 Required Qualifications: - 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 - 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 Preferred 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 Required Skills: Python, SQL, Cloud data stack, LLM APIs, RAG pipelines, Embeddings, Fine-tuning, Machine learning, Statistics, Regression, Classification, Time-series forecasting, Evaluation methodology, Bias for shipping Benefits: Medical insurance, Housing stipend