How to apply for Spontaneous Application at SPRK.global

About SPRK.global

SPRK.global redistributes food oversupply to cut waste, CO2 emissions, and conserve water and energy. The company works on eliminating food waste in the global supply chain. This role is for people who want to use AI and platform development to reduce climate damage from food waste.

About the role

You will build and develop an AI-powered trading and distribution platform for surplus food. The work enables rapid, demand-based redistribution of food between supply chain actors. The goal is to eliminate food waste in the global supply chain and reduce the corresponding climate damage.

A typical day

A typical day may involve working on the AI models that match surplus food supply with demand, and developing the platform that connects supply chain actors. You would likely review data on food oversupply, test distribution logic, and coordinate with others on how to move food quickly. The exact daily routine is not stated, so ask about team structure, tools, and how work is planned.

Who SPRK.global is looking for

• Has experience with AI and machine learning technologies, ideally applied to trading, matching, or logistics problems.
• Has a background in platform development and distribution systems, including building or scaling two-sided or multi-party platforms.
• Understands supply chain operations and food distribution, including how surplus food moves between producers, distributors, and buyers.
• Shows a clear interest in climate impact and reducing food waste, with concrete examples of related work or projects.

Tips for this application

• In your first paragraph, name SPRK.global and state that you are applying to build the AI-powered trading and distribution platform for surplus food. Do not send a generic spontaneous application.
• Give one concrete example of an AI or machine learning system you built that matches supply and demand, priced goods, or routed resources. Include the outcome, such as volume matched or waste reduced.
• Describe a platform or distribution system you developed. Name the supply chain actors involved and how the system moved goods between them.
• Explain your understanding of food distribution. Mention specific stages where oversupply happens, such as farms, processors, wholesalers, or retailers.
• State your motivation for reducing food waste and climate damage in one or two sentences. Connect it to a specific project or experience, not a general statement.

What to cover in your cover letter

['Your experience building AI or machine learning systems for trading, matching, or distribution. Name the technology and the result.', 'Your background in platform development and distribution systems. Describe the platform, the users, and how it handled supply and demand.', 'Your knowledge of supply chain operations and food distribution. Show that you understand where surplus food occurs and how it can be redistributed.', 'Your reason for working on food waste and climate impact. Give a concrete example of related work, volunteering, or study.']

Research before applying

• Read the SPRK.global website and any published material on how the current platform works and which supply chain actors it connects.
• Find public data on food waste in the global supply chain, including where oversupply occurs and how much is redistributed today.
• Look for SPRK.global press coverage, interviews, or posts by the team to understand their approach to AI and distribution.
• Check if SPRK.global has a public product, pilot, or partnership. Note what is known and what you need to ask about the team and daily routine.

Likely interview topics

Based on the job description, expect questions about:

• How would you design an AI-powered trading platform for surplus food that matches supply and demand in real time?
• Describe a machine learning model you built for pricing, matching, or routing. What data did you use and how did you measure success?
• How do you handle cold chain, shelf life, and food safety constraints in a distribution system?
• Walk through a supply chain for food. Where does oversupply happen and how would your platform intervene?
• How would you measure the reduction in CO2 emissions, water, and energy use from redistributing surplus food?

Common mistakes to avoid

• Sending a generic spontaneous application that does not mention SPRK.global, surplus food, or the AI-powered trading and distribution platform.
• Claiming passion for climate impact without a concrete example of work, study, or projects related to food waste or supply chains.
• Listing AI and machine learning skills without showing how you applied them to trading, matching, distribution, or supply chain problems.