applinity

Part-Time Student Worker – Applied AI & LLM Workflows

at Zoox

Location

Foster City, CA

Type

intern

Posted

2 months ago

Remote

Yes

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Job description

About Zoox

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do.

About Our Part Time Student Worker Program

Zoox’s 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 part time student workers  who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission.
 
Project Overview

At Zoox, we are pushing the boundaries of autonomous mobility. Within our Autonomy Software organization, we are pioneering a Multi-Modal Large Language Model (M-LLM) designed to fundamentally understand driving. Simultaneously, our dedicated AI productivity team is focused on leveraging advanced AI to enhance engineering and enterprise efficiency.

 
We are looking for a highly motivated Part-Time Student Worker to operate at the exciting intersection of these two initiatives. Working directly with the Vice President of Autonomy Software, you will explore, prototype, and strategize ways to integrate our cutting-edge M-LLM technologies into the daily workflows of our autonomy organization. If you are passionate about applied AI, productivity, and the future of autonomous driving, this is an incredible opportunity to make a tangible impact at the executive level.

In this role, you will:

  • Executive Collaboration: Work directly with the VP of Autonomy Software to brainstorm, define, and evaluate opportunities where M-LLMs can streamline and supercharge organizational workflows
  • Cross-Functional Bridging: Act as the strategic and technical bridge between the core M-LLM Autonomy development team and the broader AI Productivity team, ensuring alignment and sharing best practices
  • Prototyping & Integration: Build lightweight prototypes, scripts, or internal tools that leverage multi-modal AI to solve real-world engineering, data analysis, or administrative bottlenecks
  • Exploratory Research: Stay up-to-date on the latest advancements in LLMs, M-LLMs, and agentic workflows to propose new use cases for the autonomy software division

    • Qualifications:

  • Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a closely related field
  • A strong conceptual and practical understanding of Large Language Models, prompt engineering, and multi-modal AI architectures
  •  Proficiency in Python, with experience using AI/ML frameworks, APIs, or building lightweight internal applications
  • Excellent verbal and written communication skills, with the ability to translate complex technical concepts into actionable workflows for executive leadership and distinct engineering teams.
  • Highly proactive, scrappy, and entrepreneurial. You enjoy finding inefficiencies and building clever, AI-driven solutions to fix them

    • Program Requirements:

  • Currently pursuing a B.S. or M.S., or Ph.D in a relevant engineering field
  • Available for a 6 month project
  • Able to commit to at least 20 hours per week
  • Ability to commute on-site to Foster City, CA
  • Student Worker may not use proprietary Zoox information in university theses, publications, or share it outside
    • $30 per hour.
     
    This is a contract position and employment for this position will be through a vendor contracted with Zoox. The hourly pay range is posted and you will be eligible for a benefits package as offered by the vendor.