Platform Intelligence Intern

Zoox Platform Intelligence Intern

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 the Role

Zoox is looking for a Platform Intelligence Intern to design and ship production-ready AI products for our internal platform. Today, internal users navigate multiple systems and disconnected data sources to answer everyday questions about operations, performance, and reliability. Your mission is to collapse that friction into a single, intelligent experience — one that surfaces the right metrics, predicts issues before they escalate, and answers questions in natural language. This is a hands-on, build-focused internship with definitive deliverables and measurable impact on how Zoox teams work every day. You will own end-to-end delivery of three connected products on the internal Zoox platform:

• Analytics Layer — a unified analytics surface that consolidates fragmented metrics across internal systems into a single, trustworthy view, eliminating data inconsistencies and reducing the need to query multiple tools.
• Predictability Engine — ML-driven forecasting and anomaly detection on key operational metrics, giving teams early warning on trends, regressions, and capacity needs before they become incidents.
• Internal Chatbot — a conversational AI assistant that lets users ask questions in plain English and instantly get the metrics, dashboards, and answers they need — a true one-stop shop for internal queries and analytics.

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

Compensation

The monthly salary range for this position is $5,500 to $7,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility).

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

If you need an accommodation to participate in the application or interview process please reach out to View email address on click.appcast.io or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.