LLM Tooling Intern
LLM Tooling Intern
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Job Description
WindBorne Systems is supercharging weather models with a unique proprietary data source: a global constellation of nextgeneration smart weather balloons targeting the most critical atmospheric data. We design manufacture and operate our own balloons using the data they collect to generate otherwise unattainable weather intelligence.
Our mission is to eliminate weather uncertainty and in the process help humanity adapt to climate change be that predicting hurricanes or speeding the adoption of renewables. We are building a future in which the planet is instrumented by thousands of our microballoons eliminating gaps in our understanding of the planet and giving people and businesses the information they need to make critical decisions. The founding team of Stanford engineers was named Forbes 2019 30 under 30 and is backed by top investors including Khosla Ventures.
Were looking for an LLM Tooling Intern who can help us build internal tools that make our teams more effective. This role combines practical programming skills with creative problemsolving to create tools that bridge our technical data with modern AI capabilities. Youll be working directly with our engineering and operations teams to understand their needs and build solutions that enhance their daily workflows.
This role is for someone who enjoys figuring out how to make complex systems accessible and useful. Youll be building interfaces that help our teams work with everything from technical data to operational insights using natural language to make information more accessible and actionable. If you have ideas for tools that could make our work better we want to hear them this is an experimental role where initiative and creativity are encouraged. If youre excited about both coding and understanding how to make technology more useful for real people this could be a great fit.
Responsibilities
Design and implement internal tools that leverage LLMs to improve team productivity
Build interfaces between various data sources and LLM APIs
Work with different teams to understand their needs and use cases
Rapidly prototype and iterate on tools based on user feedback and usage patterns
Skills and Qualifications
Required
Solid Python programming experience (youve built real things not just classroom exercises)
Strong communication skills and ability to understand user needs
Selfdirected problem solving ability
Basic understanding of how LLMs work and their practical limitations
Some experience using AI coding assistants in your own development workflow
Experience with web technologies (or sufficient coding maturity to pick them up)
Nice to have
Bachelors degree or higher (or currently working towards a degree) in Computer Science or related field
Deeper technical understanding of machine learning models
Experience with any kind of UI/UX design
Pay rate
$30$40/hr**
Benefits
Office food and beverages (minimum 2x catered lunches & dinners a week)
Potential to convert to fulltime with all associated benefits
Location
Address: 858 San Antonio Rd Palo Alto CA. In person required.
Required Experience:
Intern
Employment Type
Full-Time
