AI Workflows Intern [Summer 2027]

The role

You will build and test AI-powered tools and agentic workflows that help safety operators and analysts make data-driven safety decisions. You will connect AI agents to safety databases and operational logs, and test prototypes in real operational scenarios.

What you will do

• Design, prototype and implement agentic workflows and AI-assisted tools that automate complex safety evaluations and triage operational signals.
• Characterize the capabilities, edge cases and failure modes of LLMs and AI workflows to keep decision aids within safety-critical reliability thresholds.
• Connect generative AI agents to structured safety databases and operational logs to automate real-time synthesis and risk reporting.
• Work with safety strategists and software engineers to test prototypes in real operational scenarios and iterate on user feedback.

Required qualifications

• Currently pursuing a Master's degree (or advanced degree) in Computer Science, Artificial Intelligence, Robotics, Data Science or a related engineering field.
• Good academic standing and enrolled at an accredited college or university throughout the internship.
• Expected graduation date between Fall 2027 and Summer 2028.
• Able to commit to a full-time, 12-week internship.
• Ability to relocate to the Bay Area, California, for the duration of the internship.
• Strong software engineering fundamentals in Python and object-oriented programming.
• Hands-on experience developing and deploying AI tools, LLM APIs and agentic workflows (e.g., LangChain, LlamaIndex, Claude/Cursor environments).
• Understanding of the limitations, hallucinations and verification methods required when deploying AI in decision-making contexts.
• Experience building working prototypes, APIs or internal web dashboards (e.g., Streamlit, FastAPI or Flask).
• Strong analytical problem-solving and clear written and verbal technical communication.

Nice to have

• Prior experience applying AI/ML techniques to autonomous systems, safety analytics or risk management.
• Experience designing evaluation harnesses to benchmark generative AI and prompt performance.
• Familiarity with database architectures (SQL/NoSQL) and data warehousing platforms.

Benefits

• Hands-on experience with cutting-edge technology.
• Mentorship from industry experts.
• Opportunity to make meaningful contributions to real projects.
• Medical insurance.
• Housing stipend.
• Relocation assistance based on eligibility.

Before you apply

• Interns may not use proprietary information for thesis or publication outside of Zoox.

About the company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem to bring it to market. It works at the intersection of robotics, machine learning and design to provide mobility-as-a-service in urban environments.