AI Workflows & Safety Decision Making Intern [2027]

Zoox is hiring an AI Workflows & Safety Decision Making Intern [2027] in Foster City, United States. Level rates it ; you can apply on Zoox.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include Claude, LangChain and LlamaIndex.
Level classifies it as an internship.
Level lists 238 other open roles at Zoox.
The role was posted in the last few days.

AI in this role

ClaudeLangChainLlamaIndexCursor

ai-agents

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 The Safety Strategy & Operations team at Zoox ensures that every strategic decision regarding vehicle deployment, operations, and policy is backed by rigorous safety data and modern computational tools. 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.

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.

Compensation The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance and a housing stipend (relocation assistance offered based on eligibility).Interview Process & Duration of Each Interview
About ZooxZoox 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.
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AccommodationsIf 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.

How we rate this

AI Workflows & Safety Decision Making Intern [2027] at Zoox rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Workflows & Safety Decision Making Intern [2027] is an open job at Zoox.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Foster City, CA.
The job was posted on November 7, 2026.
Seniority: intern.
Applications are handled by Zoox. Apply on Zoox

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsClaudeLangChainLlamaIndexCursor

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used Claude in your day-to-day work.
What are the limits of LangChain that you've run into, and how did you work around them?
What's a project where you used LlamaIndex hands-on?
Walk me through how you've used Cursor in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI agents, Claude, LangChain, LlamaIndex, and Cursor. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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