AI Workflows & Safety Decision Making Intern [2027]

About Our Internship Program
Zoox's internship 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 interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission.

Job Description As an intern on this team, you will focus on developing and deploying internal AI tools and agentic workflows that empower safety operators and analysts to make faster, more consistent, and data-driven safety decisions. You will work at the cutting edge where state-of-the-art AI developer tooling directly interfaces with safety-critical operational decision systems.

• Develop AI-Powered Decision Tools: Design, prototype, and implement agentic workflows and AI-assisted tools that automate complex safety evaluations and triage operational signals.
• Test & Validate Tool Reliability: Characterize the capabilities, edge cases, and failure modes of LLMs and AI workflows to ensure decision aids operate within safety-critical reliability thresholds.
• Integrate Data Pipelines: Connect generative AI agents to structured safety databases and operational logs to automate real-time synthesis and risk reporting.
• Collaborate Across Safety & Software: Work alongside safety strategists and software engineers to test prototypes in real operational scenarios and iterate based on user feedback.

• Currently pursuing a Master’s degree (or advanced degree) in Computer Science, Artificial Intelligence, Robotics, Data Science, or 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.
• Interns at Zoox may not use proprietary information for thesis or publication outside of Zoox.

• 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).
• Critical 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/verbal technical communication.

• 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.