Z
AI Workflows & Safety Decision Making Intern [2027]
Zoox
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- ETLPythonREST APIsFlaskFastAPIData visualization
- Nice to have
- Machine learningLLMsSQLNoSQL
- Work
- On-site in Foster City · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python58%REST APIs46%ETL18%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 6, 2026 · still open
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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.
About the Role
- This is an internship role with an expected graduation date between Fall 2027 and Summer 2028.
Key Responsibilities
- 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.
Requirements & Tech Stack
- 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.
- 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.
- Interns at Zoox may not use proprietary information for thesis or publication outside of Zoox.
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.