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Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Develop and deploy AI-powered decision tools and agentic workflows for safety operations. Build LLM integrations with safety databases and operational logs, evaluate model reliability and failure modes, create APIs or dashboards, and collaborate with safety strategists and software engineers to validate prototypes in real-world autonomous vehicle scenarios.
Summary Generated by Built In
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.
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.
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.
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 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.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.
Skills Required
- Currently pursuing a Master's degree or advanced degree in Computer Science, Artificial Intelligence, Robotics, Data Science, or a related engineering field.
- Maintain good academic standing and enrollment at an accredited college or university throughout the internship.
- Expected graduation between Fall 2027 and Summer 2028.
- Commit to a full-time, 12-week internship.
- 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.
- Understanding of LLM limitations, hallucinations, and verification methods for safety-critical decision-making.
- Experience building working prototypes, APIs, or internal web dashboards using tools such as Streamlit, FastAPI, or Flask.
- Strong analytical problem-solving and technical communication skills.
- Experience applying AI or machine learning to autonomous systems, safety analytics, or risk management.
- Experience designing evaluation harnesses to benchmark generative AI and prompt performance.
- Familiarity with SQL or NoSQL database architectures and data warehousing platforms.
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
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The Company
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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