AI Workflows & Safety Decision Making Intern [2027]
About The Position
The Safety Strategy & Operations team at Zoox ensures that strategic decisions about vehicle deployment, operations, and policy are supported by rigorous safety data and modern computational tools. The intern will develop and deploy internal AI tools and agentic workflows to help safety operators and analysts make faster, more consistent, data-driven safety decisions. The role connects state-of-the-art AI developer tooling with safety-critical operational decision systems. The intern will design, prototype, and implement AI-powered decision tools; assess the reliability, capabilities, edge cases, and failure modes of LLMs and AI workflows; connect generative AI agents to structured safety databases and operational logs; and collaborate with safety strategists and software engineers to test and refine prototypes using feedback from operational scenarios. This is a full-time, 12-week internship. The intern must be able to relocate to the Bay Area, California, for its duration.
Requirements
- Currently pursuing a master's degree or advanced degree in Computer Science, Artificial Intelligence, Robotics, Data Science, or a related engineering field.
- Be in 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.
- Able 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, such as LangChain, LlamaIndex, or Claude/Cursor environments.
- Critical understanding of AI limitations and hallucinations, and of verification methods needed for AI in decision-making contexts.
- Experience building working prototypes, APIs, or internal web dashboards, such as with Streamlit, FastAPI, or Flask.
- Strong analytical problem-solving skills and clear written and verbal technical communication.
- Interns may not use proprietary information for thesis or publication outside of Zoox.
Nice To Haves
- 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 SQL/NoSQL database architectures and data warehousing platforms.
Responsibilities
- Design, prototype, and implement agentic workflows and AI-assisted tools to automate complex safety evaluations and triage operational signals.
- Characterize the capabilities, edge cases, and failure modes of LLMs and AI workflows to ensure decision aids meet safety-critical reliability thresholds.
- Connect generative AI agents to structured safety databases and operational logs to automate real-time synthesis and risk reporting.
- Collaborate with safety strategists and software engineers to test prototypes in real operational scenarios and iterate based on user feedback.
Benefits
- Medical insurance may be available.
- A housing stipend may be available.
- Relocation assistance may be offered based on eligibility.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
