WaterOne.AI
Details
Positions: Summer Software Engineer / Data Scientist
Location: Stanford / Fresno / Remote (to be coordinated). Our engineering team is based in Palo Alto. The position may require occasional travels.
Innovation Area: Environment and Health; Policy and Economics; Software and Data Analytics
Position Type: TomKat Center-supported
Compensation: $8,500
Internship Term: 8 weeks
Water is the “so what” of climate change. Water constraints are wiping out billions in US farmland value, impacting millions of livelihoods. Furthermore, new patterns of water challenges are emerging from aging infrastructures, water source depletions, and increasingly volatile weather patterns. WaterOne.AI's (formerly, Mizu Analytics Inc., TomKat Page) AI-powered platform helps farmers, water managers, utilities, and policymakers respond more quickly and effectively to emerging challenges, turning water management from a threat into an opportunity. Given agriculture takes up 70% of human freshwater use, we are tackling the critical juncture between water and food security.
Two Stanford MS Climate/MBAs founded WaterOne.AI: Tomo was an agroforestry startup CFO managing 40% of Kenya’s forestation with 30,000 farmers, while Ryo was the youngest Chief Corn Trader at Japan’s largest trading house, importing 20% of Japan’s corn. The team has been selected for StartX, TomKat Innovation Grant, Stanford Sustainability Accelerator Water Flagship, Stanford Climate Ventures, Emergence Accelerators, and Knight-Hennessy Scholars.
Responsibilities
- Collaborate with our C-Suite and engineering team to develop front-end or data science solutions for Mizu’s platform.
- Build and improve web or mobile applications using React, TypeScript, Tailwind, and Next.js (if front-end focused).
- Conduct data analysis, develop ML models, and help architect data pipelines (if data science focused).
- Gather user feedback and test prototypes on-site with growers, contributing to real-world sustainability and behavior change solutions.
- Participate in creative problem-solving sessions to refine product design, improve user experience, and shape Mizu’s technology stack.
Who Should Apply
- Problem solvers eager to tackle climate, agriculture, and water management challenges through technology.
- Individuals comfortable balancing hands-on fieldwork with technical development, who enjoy iterating quickly and testing ideas in real-world settings.
- Adaptable, curiosity-driven individuals looking for an opportunity to learn, innovate, and make a direct impact on sustainability outcomes.
- High empathy, relatable persons who can see the big societal change while engaging in conversations with on-the-ground stakeholders in their languages. Sometimes, our customers don’t believe in climate change. Can you have fun, civil conversations with them?
Required Expertise
- Basic proficiency in programming (e.g., Python or JavaScript).
- Ability to learn and adapt to new technologies quickly.
- Strong communication and collaboration skills, including a willingness to gather user feedback and iterate on product ideas.
Preferred Skills/Majors
- Experience with React, TypeScript, Tailwind, Next.js (for front-end roles) or Python-based data science/ML frameworks (for data science roles).
- Familiarity with software development or data engineering best practices.
- Majors in Computer Science, Data Science, Earth Systems, Engineering, or related fields.
- Previous exposure to water management, agriculture, or climate technology is a plus.