BetterBasket SWE Intern SF | YC AI Grocery Pricing

Overview

BetterBasket is hiring a Software Engineering Intern in San Francisco to build AI systems that replace spreadsheet-driven grocery pricing with automated, data-driven merchandising decisions. The platform ingests competitive data, maps products across retailers (including private label and fresh), models demand and substitution, and executes price changes — already powering pricing for billions of dollars of grocery items for leading retailers.

This is not a scoped intern project with a final presentation. You'll ship production systems used by real grocery operators making high-stakes pricing decisions every week — working on product knowledge graphs, entity resolution, demand elasticity modeling, and LLM-powered explanation systems.

Key Requirements & Critical Rules

• Location: San Francisco, CA — in-person startup culture (Friday happy hours, beer garden).
• Core stack: Python (data systems, ML, concurrency), TypeScript/React/Node, SQL (query optimization, large-scale data), REST APIs.
• Infra: Azure, Kubernetes, Docker, Redis.
• Work scope: Product matching across retailers, demand/substitution/elasticity modeling, automated price execution, and systems that explain store-level outcomes.
• Nice to have: Scraping (Scrapy, Selenium, Playwright), LLMs/agentic systems, entity resolution, Figma, distributed inference.
• Culture fit: High agency builders who want to ship real production code — not coffee runs, shadowing, or research-paper reading groups.
• Customer exposure: Work with real customers with daily, urgent needs — not a sandbox intern project.
• ML expectation: Turn latest model releases into real-world value quickly.