AI Workflows & Safety Decision Making Intern [2027]
Foster City, CA · 2 days ago
The intern will design, prototype and test agentic LLM workflows that automate safety evaluations and triage operational signals, and connect them to safety databases and logs. They will validate tool reliability and work with safety and software teams on real operational scenarios.
- Workplace
- Hybrid
- Seniority
- Intern
- Team
- Zoox Internships
Skills
About the role
## In this Role, You Will… • 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. ## Internship Requirements • 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. ## Technical Qualifications • 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. ## Bonus Qualifications • 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. About Zoox 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.
Posted Nov 7, 2026