Part-Time Student Worker – Applied AI & LLM Workflows
Team: Software
Location: Foster City, CA
Commitment: Contract
Workplace Type: hybrid
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.
What you bring:
- Education: Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a closely related field.
- AI/LLM Knowledge: A strong conceptual and practical understanding of Large Language Models, prompt engineering, and multi-modal AI architectures.
- Technical Chops: Proficiency in Python, with experience using AI/ML frameworks, APIs, or building lightweight internal applications.
- Communication Skills: Excellent verbal and written communication skills, with the ability to translate complex technical concepts into actionable workflows for executive leadership and distinct engineering teams.
- Mindset: Highly proactive, scrappy, and entrepreneurial. You enjoy finding inefficiencies and building clever, AI-driven solutions to fix them.
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